<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>9970</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>74</pageFirst>
    <pageLast>79</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Short-Term Forecasting of Energy Consumption and Production in Local Energy Communities</title>
    <parentTitle language="eng">2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)</parentTitle>
    <identifier type="doi">10.1109/WETICE64632.2024.00022</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_doi_json">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:32:22Z","timestamp":1740115942978,"version":"3.37.3"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:00:00Z","timestamp":1719360000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:00:00Z","timestamp":1719360000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,26]]},"DOI":"10.1109\/wetice64632.2024.00022","type":"proceedings-article","created":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T18:25:39Z","timestamp":1739557539000},"page":"74-79","source":"Crossref","is-referenced-by-count":0,"title":["Short-Term Forecasting of Energy Consumption and Production in Local Energy Communities"],"prefix":"10.1109","author":[{"given":"Natalia Selini Hadjidimitriou Marco","family":"Mamei","sequence":"first","affiliation":[{"name":"University of Modena and Reggio Emilia,Reggio Emilia,Italy"}]},{"given":"Marco","family":"Lippi","sequence":"additional","affiliation":[{"name":"University of Florence,Firenze,Italy"}]},{"given":"Raffaele","family":"Nastro","sequence":"additional","affiliation":[{"name":"Geco Renew Group,Pompei,Italy"}]},{"given":"Thorsten","family":"Koch","sequence":"additional","affiliation":[{"name":"Zuse Institute Berlin,Berlin,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2012.04.042"},{"volume-title":"Directive of the european parliament and of the council on common rules for the internal market in electricity","year":"2016","key":"ref2"},{"volume-title":"Directive of the european parliament and of the council on common rules for the internal market in electricity (recast)","year":"2019","key":"ref3"},{"volume-title":"Directive (eu) 2018\/2001 of the european parliament and of the council, of december 11, 2018, on the promotion of energy from renewable sources","year":"2018","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/13549839.2019.1681950"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117402"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2876612"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.erss.2021.102363"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2022.100983"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.04.095"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.11.040"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2012.02.049"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2018.11.008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.01.069"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.10.079"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924685"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IECON43393.2020.9255314"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063066"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.04.331"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2018.03.005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IISA52424.2021.9555544"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2021.3073493"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC48688.2020.00-61"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s41601-017-0040-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36475-5_12"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2020.106542"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.106956"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1177\/0278364904045481"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1201.0490"},{"article-title":"Keras","year":"2015","author":"Chollet","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09259-1_2"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02271-3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117328"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2019.2903091"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2694340"}],"event":{"name":"2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","start":{"date-parts":[[2024,6,26]]},"location":"Reggio Emilia, Italy","end":{"date-parts":[[2024,6,28]]}},"container-title":["2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10880122\/10880236\/10880256.pdf?arnumber=10880256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T20:00:57Z","timestamp":1740081657000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10880256\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,26]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/wetice64632.2024.00022","relation":{},"subject":[],"published":{"date-parts":[[2024,6,26]]}}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">proceedings-article</enrichment>
    <enrichment key="opus_crossrefLicence">https://doi.org/10.15223/policy-029</enrichment>
    <enrichment key="opus_import_origin">crossref</enrichment>
    <enrichment key="opus_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,EnrichmentConferenceTitle,EnrichmentConferencePlace,PublisherName,TitleMain_1,TitleParent_1,PageNumber,PageFirst,PageLast,PublishedYear,Enrichmentopus_crossrefLicence</enrichment>
    <enrichment key="ConferencePlace">Reggio Emilia, Italy</enrichment>
    <enrichment key="ConferenceTitle">2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <author>Natalia Selini Hadjidimitriou</author>
    <submitter>Janina Zittel</submitter>
    <author>Marco Lippi</author>
    <author>Raffaele Nastro</author>
    <author>Thorsten Koch</author>
    <author>Marco Mamei</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>9829</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Analysis of the Impact of COVID-19 and Russo-Ukraine War on Natural Gas Flow Using Time Series Forecasting</title>
    <parentTitle language="eng">Preceedings of the 16th International Conference on Management of Digital Ecosystems</parentTitle>
    <enrichment key="Series">Communications in Computer and Information Science (Springer CCIS)</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="SubmissionStatus">accepted for publication</enrichment>
    <enrichment key="AcceptedDate">2024-10-20</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Natalia Selini Hadjidimitriou</author>
    <submitter>Janina Zittel</submitter>
    <author>Thorsten Koch</author>
    <author>Marco Lippi</author>
    <author>Milena Petkovic</author>
    <author>Marco Mamei</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="petkovic">Petkovic, Milena</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>10276</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>29</volume>
    <type>article</type>
    <publisherName>Springer Science and Business Media LLC</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Spatial analysis of COVID-19 and the Russia–Ukraine war impacts on natural gas flows using statistical and machine learning models</title>
    <parentTitle language="eng">World Wide Web</parentTitle>
    <identifier type="doi">https://doi.org/10.1007/s11280-025-01402-7</identifier>
    <identifier type="issn">1386-145X</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_doi_json">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T00:24:21Z","timestamp":1768695861615,"version":"3.49.0"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T00:00:00Z","timestamp":1768608000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T00:00:00Z","timestamp":1768608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["101135927"],"award-info":[{"award-number":["101135927"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"German Federal Ministry of Education and Research","award":["05M14ZAM"],"award-info":[{"award-number":["05M14ZAM"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s11280-025-01402-7","type":"journal-article","created":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T11:21:05Z","timestamp":1768648865000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatial analysis of COVID-19 and the Russia\u2013Ukraine war impacts on natural gas flows using statistical and machine learning models"],"prefix":"10.1007","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9695-8085","authenticated-orcid":false,"given":"Natalia Selini","family":"Hadjidimitriou","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1967-0077","authenticated-orcid":false,"given":"Thorsten","family":"Koch","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9663-1071","authenticated-orcid":false,"given":"Marco","family":"Lippi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1632-4846","authenticated-orcid":false,"given":"Milena","family":"Petkovic","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3918-2107","authenticated-orcid":false,"given":"Marco","family":"Mamei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,17]]},"reference":[{"key":"1402_CR1","doi-asserted-by":"publisher","first-page":"1009393","DOI":"10.3389\/fpubh.2022.1009393","volume":"10","author":"S Naseer","year":"2023","unstructured":"Naseer, S., Khalid, S., Parveen, S., Abbass, K., Song, H., Achim, M.V.: Covid-19 outbreak: impact on global economy. Front. Public Health 10, 1009393 (2023)","journal-title":"Front. Public Health"},{"issue":"4","key":"1402_CR2","first-page":"2252","volume":"20","author":"M Usman","year":"2020","unstructured":"Usman, M., Ali, Y., Riaz, A., Riaz, A., Zubair, A.: Economic perspective of coronavirus (covid-19). J. Public Aff. 20(4), 2252 (2020)","journal-title":"J. Public Aff."},{"key":"1402_CR3","doi-asserted-by":"publisher","first-page":"138882","DOI":"10.1016\/j.scitotenv.2020.138882","volume":"728","author":"I Chakraborty","year":"2020","unstructured":"Chakraborty, I., Maity, P.: Covid-19 outbreak: migration, effects on society, global environment and prevention. Sci. Total Environ. 728, 138882 (2020)","journal-title":"Sci. Total Environ."},{"issue":"4","key":"1402_CR4","doi-asserted-by":"publisher","first-page":"493","DOI":"10.5465\/amp.2019.0053","volume":"34","author":"S Brammer","year":"2020","unstructured":"Brammer, S., Branicki, L., Linnenluecke, M.K.: Covid-19, societalization, and the future of business in society. Acad. Manag. Perspect. 34(4), 493\u2013507 (2020)","journal-title":"Acad. Manag. Perspect."},{"key":"1402_CR5","doi-asserted-by":"publisher","first-page":"138870","DOI":"10.1016\/j.scitotenv.2020.138870","volume":"728","author":"S Saadat","year":"2020","unstructured":"Saadat, S., Rawtani, D., Hussain, C.M.: Environmental perspective of covid-19. Sci. Total Environ. 728, 138870 (2020)","journal-title":"Sci. Total Environ."},{"key":"1402_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.138813","volume":"728","author":"MA Zambrano-Monserrate","year":"2020","unstructured":"Zambrano-Monserrate, M.A., Ruano, M.A., Sanchez-Alcalde, L.: Indirect effects of covid-19 on the environment. Sci. Total Environ. 728, 138813 (2020)","journal-title":"Sci. Total Environ."},{"key":"1402_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2022.102551","volume":"76","author":"SA Amamou","year":"2022","unstructured":"Amamou, S.A., Bargaoui, S.A.: Energy markets responds to covid-19 pandemic. Resour. Policy 76, 102551 (2022)","journal-title":"Resour. Policy"},{"key":"1402_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2022.100728","volume":"31","author":"D \u00c7elik","year":"2022","unstructured":"\u00c7elik, D., Meral, M.E., Waseem, M.: The progress, impact analysis, challenges and new perceptions for electric power and energy sectors in the light of the covid-19 pandemic. Sustain. Energy Grids Netw. 31, 100728 (2022)","journal-title":"Sustain. Energy Grids Netw."},{"key":"1402_CR9","doi-asserted-by":"crossref","unstructured":"Carvalho, M., Mello Delgado, D., Lima, K.M., Camargo Cancela, M., Siqueira, C.A., Souza, D.L.B.: Effects of the covid-19 pandemic on the Brazilian electricity consumption patterns. Int. J. Energy Res. 45(2), 3358\u20133364 (2021)","DOI":"10.1002\/er.5877"},{"key":"1402_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.erss.2020.101683","volume":"68","author":"A Bahmanyar","year":"2020","unstructured":"Bahmanyar, A., Estebsari, A., Ernst, D.: The impact of different covid-19 containment measures on electricity consumption in Europe. Energy Res. Soc. Sci. 68, 101683 (2020)","journal-title":"Energy Res. Soc. Sci."},{"key":"1402_CR11","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2020.568287","volume":"8","author":"S B\u00f6nisch","year":"2020","unstructured":"B\u00f6nisch, S., Wegscheider, K., Krause, L., Sehner, S., Wiegel, S., Zapf, A., Moser, S., Becher, H.: Effects of coronavirus disease (covid-19) related contact restrictions in Germany, march to May 2020, on the mobility and relation to infection patterns. Front. Public Health 8, 568287 (2020)","journal-title":"Front. Public Health"},{"key":"1402_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2023.103792","volume":"85","author":"S Chen","year":"2023","unstructured":"Chen, S., Bouteska, A., Sharif, T., Abedin, M.Z.: The Russia-Ukraine war and energy market volatility: a novel application of the volatility ratio in the context of natural gas. Resour. Policy 85, 103792 (2023)","journal-title":"Resour. Policy"},{"key":"1402_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.intfin.2023.101768","volume":"85","author":"R Karkowska","year":"2023","unstructured":"Karkowska, R., Urjasz, S.: How does the Russian-Ukrainian war change connectedness and hedging opportunities? comparison between dirty and clean energy markets versus global stock indices. J. Int. Financ. Mark. Inst. Money 85, 101768 (2023)","journal-title":"J. Int. Financ. Mark. Inst. Money"},{"key":"1402_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2023.102598","volume":"87","author":"M Izzeldin","year":"2023","unstructured":"Izzeldin, M., Murado\u011flu, Y.G., Pappas, V., Petropoulou, A., Sivaprasad, S.: The impact of the Russian-Ukrainian war on global financial markets. Int. Rev. Financ. Anal. 87, 102598 (2023)","journal-title":"Int. Rev. Financ. Anal."},{"key":"1402_CR15","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1016\/j.eap.2022.12.025","volume":"77","author":"M Yagi","year":"2023","unstructured":"Yagi, M., Managi, S.: The spillover effects of rising energy prices following 2022 Russian invasion of Ukraine. Econ. Anal. Policy 77, 680\u2013695 (2023)","journal-title":"Econ. Anal. Policy"},{"issue":"2","key":"1402_CR16","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.jpolmod.2023.04.001","volume":"45","author":"N Hosoe","year":"2023","unstructured":"Hosoe, N.: The cost of war: impact of sanctions on Russia following the invasion of Ukraine. J. Policy Model. 45(2), 305\u2013319 (2023)","journal-title":"J. Policy Model."},{"key":"1402_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2023.106838","volume":"125","author":"JW Goodell","year":"2023","unstructured":"Goodell, J.W., Gurdgiev, C., Paltrinieri, A., Piser\u00e0, S.: Global energy supply risk: evidence from the reactions of European natural gas futures to Nord stream announcements. Energy Econ. 125, 106838 (2023)","journal-title":"Energy Econ."},{"key":"1402_CR18","unstructured":"Bundesbank, D.: Additional Disruptions to the German Economy in the Event of an Energy Embargo (2022)"},{"key":"1402_CR19","volume-title":"Economic consequences of a sudden stop of energy imports: The case of natural gas in germany","author":"T Krebs","year":"2022","unstructured":"Krebs, T.: Economic consequences of a sudden stop of energy imports: The case of natural gas in germany. Technical report, ZEW Discussion Papers (2022)"},{"key":"1402_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2024.107777","volume":"138","author":"G Di Bella","year":"2024","unstructured":"Di Bella, G., Flanagan, M., Foda, K., Maslova, S., Pienkowski, A., Stuermer, M., Toscani, F.: Natural gas in europe: the potential impact of disruptions to supply. Energy Econ. 138, 107777 (2024)","journal-title":"Energy Econ."},{"key":"1402_CR21","unstructured":"Eurostat: Natural gas consumption statistics. https:\/\/ec.europa.eu\/eurostat\/statistics-explained\/index.php?title=Natural_gas_supply_statistics. Accessed: 24 May 2025 (2021)"},{"key":"1402_CR22","doi-asserted-by":"publisher","first-page":"2778","DOI":"10.1016\/j.egyr.2023.09.069","volume":"10","author":"B Zakeri","year":"2023","unstructured":"Zakeri, B., Staffell, I., Dodds, P.E., Grubb, M., Ekins, P., J\u00e4\u00e4skel\u00e4inen, J., Cross, S., Helin, K., Gissey, G.C.: The role of natural gas in setting electricity prices in Europe. Energy Rep. 10, 2778\u20132792 (2023)","journal-title":"Energy Rep."},{"key":"1402_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2023.113568","volume":"298","author":"K Shakarami","year":"2023","unstructured":"Shakarami, K., Rahnama, M.R.: Spatial analysis of the impacts of the urban form on the energy consumption of Karaj over the covid-19 era (2019\u20132022). Energy Build. 298, 113568 (2023)","journal-title":"Energy Build."},{"key":"1402_CR24","doi-asserted-by":"crossref","unstructured":"Gatto, A., Mattera, R., Panarello, D.: For whom the bell tolls. A spatial analysis of the renewable energy transition determinants in Europe in light of the Russia-Ukraine war. J. Environ. Manag. 352, 119833 (2024)","DOI":"10.1016\/j.jenvman.2023.119833"},{"key":"1402_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.esr.2022.100945","volume":"44","author":"AF Erias","year":"2022","unstructured":"Erias, A.F., Iglesias, E.M.: Price and income elasticity of natural gas demand in Europe and the effects of lockdowns due to covid-19. Energ. Strat. Rev. 44, 100945 (2022)","journal-title":"Energ. Strat. Rev."},{"key":"1402_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2023.103342","volume":"81","author":"MS Alam","year":"2023","unstructured":"Alam, M.S., Murshed, M., Manigandan, P., Pachiyappan, D., Abduvaxitovna, S.Z.: Forecasting oil, coal, and natural gas prices in the pre-and post-covid scenarios: contextual evidence from India using time series forecasting tools. Resour. Policy 81, 103342 (2023)","journal-title":"Resour. Policy"},{"key":"1402_CR27","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.apenergy.2011.11.003","volume":"92","author":"B Soldo","year":"2012","unstructured":"Soldo, B.: Forecasting natural gas consumption. Appl. Energy 92, 26\u201337 (2012)","journal-title":"Appl. Energy"},{"key":"1402_CR28","unstructured":"\u0160ebalj, D., Mesari\u0107, J., Dujak, D.: Predicting natural gas consumption\u2013a literature review. In: Central European Conference on Information and Intelligent Systems, pp. 293\u2013300 (2017). Faculty of Organization and Informatics Varazdin"},{"issue":"3","key":"1402_CR29","first-page":"51","volume":"16","author":"Z Tonkovi\u0107","year":"2009","unstructured":"Tonkovi\u0107, Z., Zeki\u0107-Su\u0161ac, M., Somolanji, M.: Predicting natural gas consumption by neural networks. Tehni\u010dki vjesnik. 16(3), 51\u201361 (2009)","journal-title":"Tehni\u010dki vjesnik."},{"issue":"1","key":"1402_CR30","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.physa.2005.02.066","volume":"355","author":"M Thaler","year":"2005","unstructured":"Thaler, M., Grabec, I., Poredo\u0161, A.: Prediction of energy consumption and risk of excess demand in a distribution system. Phys. A: Stat. Mech. Appl. 355(1), 46\u201353 (2005)","journal-title":"Phys. A: Stat. Mech. Appl."},{"issue":"2","key":"1402_CR31","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.advengsoft.2009.09.012","volume":"41","author":"\u00d6A Dombayc\u0131","year":"2010","unstructured":"Dombayc\u0131, \u00d6.A.: The prediction of heating energy consumption in a model house by using artificial neural networks in Denizli-Turkey. Adv. Eng. Softw. 41(2), 141\u2013147 (2010)","journal-title":"Adv. Eng. Softw."},{"key":"1402_CR32","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.energy.2015.03.084","volume":"85","author":"J Szoplik","year":"2015","unstructured":"Szoplik, J.: Forecasting of natural gas consumption with artificial neural networks. Energy 85, 208\u2013220 (2015)","journal-title":"Energy"},{"key":"1402_CR33","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/j.energy.2018.10.175","volume":"167","author":"P Poto\u010dnik","year":"2019","unstructured":"Poto\u010dnik, P., \u0160ilc, J., Papa, G., et al.: A comparison of models for forecasting the residential natural gas demand of an urban area. Energy 167, 511\u2013522 (2019)","journal-title":"Energy"},{"key":"1402_CR34","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.enbuild.2015.07.006","volume":"104","author":"N Izadyar","year":"2015","unstructured":"Izadyar, N., Ong, H.C., Shamshirband, S., Ghadamian, H., Tong, C.W.: Intelligent forecasting of residential heating demand for the district heating system based on the monthly overall natural gas consumption. Energy Build. 104, 208\u2013214 (2015)","journal-title":"Energy Build."},{"issue":"2","key":"1402_CR35","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/72.839015","volume":"11","author":"A Khotanzad","year":"2000","unstructured":"Khotanzad, A., Elragal, H., Lu, T.-L.: Combination of artificial neural-network forecasters for prediction of natural gas consumption. IEEE Trans. Neural Networks 11(2), 464\u2013473 (2000)","journal-title":"IEEE Trans. Neural Networks"},{"key":"1402_CR36","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.energy.2018.07.047","volume":"160","author":"Q Wang","year":"2018","unstructured":"Wang, Q., Li, S., Li, R., Ma, M.: Forecasting us shale gas monthly production using a hybrid Arima and metabolic nonlinear grey model. Energy 160, 378\u2013387 (2018)","journal-title":"Energy"},{"issue":"1","key":"1402_CR37","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s11280-021-01003-0","volume":"26","author":"M Li","year":"2023","unstructured":"Li, M., Zhu, Y., Shen, Y., Angelova, M.: Clustering-enhanced stock price prediction using deep learning. World Wide Web. 26(1), 207\u2013232 (2023)","journal-title":"World Wide Web."},{"issue":"5","key":"1402_CR38","doi-asserted-by":"publisher","first-page":"3229","DOI":"10.1007\/s11280-023-01181-z","volume":"26","author":"J Liu","year":"2023","unstructured":"Liu, J., Yang, D., Zhang, K., Gao, H., Li, J.: Anomaly and change point detection for time series with concept drift. World Wide Web. 26(5), 3229\u20133252 (2023)","journal-title":"World Wide Web."},{"key":"1402_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2023.103436","volume":"82","author":"J Chen","year":"2023","unstructured":"Chen, J., Xiao, Z., Bai, J., Guo, H.: Predicting volatility in natural gas under a cloud of uncertainties. Resour. Policy 82, 103436 (2023)","journal-title":"Resour. Policy"},{"issue":"10","key":"1402_CR40","doi-asserted-by":"publisher","first-page":"14338","DOI":"10.1002\/er.6762","volume":"45","author":"N Norouzi","year":"2021","unstructured":"Norouzi, N.: Post-covid-19 and globalization of oil and natural gas trade: challenges, opportunities, lessons, regulations, and strategies. Int. J. Energy Res. 45(10), 14338\u201314356 (2021)","journal-title":"Int. J. Energy Res."},{"key":"1402_CR41","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1038\/s41558-020-0797-x","volume":"10","author":"C Le Qu\u00e9r\u00e9","year":"2020","unstructured":"Le Qu\u00e9r\u00e9, C., Jackson, R., Jones, M., Smith, A., Abernethy, S., Andrew, R., De-Gol, A., Willis, D., Shan, Y., Canadell, J., et al.: Temporary reduction in daily global co2 emissions during the covid-19 forced confinement. Nat. Clim. Chang. 10, 647\u2013653 (2020)","journal-title":"Nat. Clim. Chang."},{"key":"1402_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2022.102581","volume":"76","author":"W Liu","year":"2022","unstructured":"Liu, W., Chen, X.: Natural resources commodity prices volatility and economic uncertainty: evaluating the role of oil and gas rents in covid-19. Resour. Policy 76, 102581 (2022)","journal-title":"Resour. Policy"},{"issue":"1","key":"1402_CR43","doi-asserted-by":"publisher","first-page":"2021","DOI":"10.1029\/2021EF002250","volume":"10","author":"P Ciais","year":"2022","unstructured":"Ciais, P., Br\u00e9on, F.-M., Dellaert, S., Wang, Y., Tanaka, K., Gurriaran, L., Fran\u00e7oise, Y., Davis, S.J., Hong, C., Penuelas, J., et al.: Impact of lockdowns and winter temperatures on natural gas consumption in Europe. Earth\u2019s Future 10(1), 2021\u2013002250 (2022)","journal-title":"Earth\u2019s Future"},{"key":"1402_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107369","volume":"134","author":"P Cihan","year":"2022","unstructured":"Cihan, P.: Impact of the covid-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study. Int. J. Electr. Power Energy Syst. 134, 107369 (2022)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"1402_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2020.101249","volume":"54","author":"BN Ashraf","year":"2020","unstructured":"Ashraf, B.N.: Stock markets\u2019 reaction to covid-19: cases or fatalities? Res. Int. Bus. Financ. 54, 101249 (2020)","journal-title":"Res. Int. Bus. Financ."},{"issue":"4","key":"1402_CR46","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1093\/rapstu\/raaa008","volume":"10","author":"SR Baker","year":"2020","unstructured":"Baker, S.R., Bloom, N., Davis, S.J., Kost, K., Sammon, M., Viratyosin, T.: The unprecedented stock market reaction to covid-19. Rev. Asset Pricing Stud. 10(4), 742\u2013758 (2020)","journal-title":"Rev. Asset Pricing Stud."},{"key":"1402_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122430","volume":"239","author":"K Khan","year":"2022","unstructured":"Khan, K., Su, C.-W., Zhu, M.N.: Examining the behaviour of energy prices to covid-19 uncertainty: a quantile on quantile approach. Energy 239, 122430 (2022)","journal-title":"Energy"},{"key":"1402_CR48","doi-asserted-by":"crossref","unstructured":"Jana, R.K., Ghosh, I.: A residual driven ensemble machine learning approach for forecasting natural gas prices: Analyses for pre-and during-covid-19 phases. Ann. Oper. Res. 1\u201322 (2022)","DOI":"10.1007\/s10479-021-04492-4"},{"key":"1402_CR49","doi-asserted-by":"crossref","unstructured":"Box, G.E., Jenkins, G.M., Reinsel, G.C.: Time series analysis. Wiley Series in Probability and Statistics. (2008)","DOI":"10.1002\/9781118619193"},{"key":"1402_CR50","unstructured":"Smith, T.G., et\u00a0al.: pmdarima: ARIMA estimators for Python. [Online; accessed 2025-05-27] (2017\u2013). http:\/\/www.alkaline-ml.com\/pmdarima"},{"issue":"3","key":"1402_CR51","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/0009-2614(85)80574-1","volume":"122","author":"JD Head","year":"1985","unstructured":"Head, J.D., Zerner, M.C.: A broyden\u2013fletcher\u2013goldfarb\u2013shanno optimization procedure for molecular geometries. Chem. Phys. Lett. 122(3), 264\u2013270 (1985)","journal-title":"Chem. Phys. Lett."},{"issue":"8","key":"1402_CR52","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"1","key":"1402_CR53","first-page":"6622927","volume":"2020","author":"W Lu","year":"2020","unstructured":"Lu, W., Li, J., Li, Y., Sun, A., Wang, J.: A cnn-lstm-based model to forecast stock prices. Complexity 2020(1), 6622927 (2020)","journal-title":"Complexity"},{"key":"1402_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.124889","volume":"260","author":"W Zha","year":"2022","unstructured":"Zha, W., Liu, Y., Wan, Y., Luo, R., Li, D., Yang, S., Xu, Y.: Forecasting monthly gas field production based on the cnn-lstm model. Energy 260, 124889 (2022)","journal-title":"Energy"},{"issue":"13s","key":"1402_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3582270","volume":"55","author":"X Wang","year":"2023","unstructured":"Wang, X., Jin, Y., Schmitt, S., Olhofer, M.: Recent advances in Bayesian optimization. ACM Comput. Surv. 55(13s), 1\u201336 (2023)","journal-title":"ACM Comput. Surv."},{"key":"1402_CR56","unstructured":"O\u2019Malley, T., Bursztein, E., Long, J., Chollet, F., Jin, H., Invernizzi, L., et\u00a0al.: Keras Tuner. https:\/\/github.com\/keras-team\/keras-tuner (2019)"},{"issue":"2","key":"1402_CR57","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/s12667-021-00466-4","volume":"13","author":"M Petkovic","year":"2022","unstructured":"Petkovic, M., Chen, Y., Gamrath, I., Gotzes, U., Hadjidimitrou, N.S., Zittel, J., Xu, X., Koch, T.: A hybrid approach for high precision prediction of gas flows. Energy Syst. 13(2), 383\u2013408 (2022)","journal-title":"Energy Syst."},{"key":"1402_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.116565","volume":"287","author":"J Rouleau","year":"2021","unstructured":"Rouleau, J., Gosselin, L.: Impacts of the covid-19 lockdown on energy consumption in a Canadian social housing building. Appl. Energy 287, 116565 (2021)","journal-title":"Appl. Energy"},{"key":"1402_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.esr.2025.101728","volume":"59","author":"B Ata","year":"2025","unstructured":"Ata, B., P\u00e9nzes, J., Pakrooh, P., Lotfata, A., Mohammed, S.: Comprehensive analysis of factors influencing eu-countries household energy consumption (2000\u20132022): trends and vulnerability to covid-19 and the russia-ukraine war. Energ. Strat. Rev. 59, 101728 (2025)","journal-title":"Energ. Strat. Rev."},{"key":"1402_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2022.103832","volume":"81","author":"MA Khalil","year":"2022","unstructured":"Khalil, M.A., Fatmi, M.R.: How residential energy consumption has changed due to covid-19 pandemic? an agent-based model. Sustain. Cities Soc. 81, 103832 (2022)","journal-title":"Sustain. Cities Soc."},{"key":"1402_CR61","unstructured":"Boehm, L., Wilson, A.: EU gas storage and LNG capacity as responses to the war in Ukraine. European Parliamentary Research Service (2022)"},{"key":"1402_CR62","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2022.112930","volume":"165","author":"M Mi\u0161\u00edk","year":"2022","unstructured":"Mi\u0161\u00edk, M.: The eu needs to improve its external energy security. Energy Policy 165, 112930 (2022)","journal-title":"Energy Policy"},{"key":"1402_CR63","unstructured":"Zachmann, G., Sgaravatti, G., McWilliams, B.: European natural gas imports. Bruegel Dataset 20 (2022)"},{"key":"1402_CR64","unstructured":"McWilliams, B., Sgaravatti, G., Tagliapietra, S., Zachmann, G.: Preparing for the first winter without russian gas. Bruegel Blog 28 (2022)"},{"key":"1402_CR65","unstructured":"Agency, I.E.: How Europe can cut natural gas imports from Russia significantly within a year. (2022)"},{"issue":"1","key":"1402_CR66","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1177\/01956574241290640","volume":"46","author":"S Emiliozzi","year":"2025","unstructured":"Emiliozzi, S., Ferriani, F., Gazzani, A.: The European energy crisis and the consequences for the global natural gas market. Energy J. 46(1), 119\u2013145 (2025)","journal-title":"Energy J."},{"issue":"6","key":"1402_CR67","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1038\/s41560-022-01054-1","volume":"7","author":"AP Ravikumar","year":"2022","unstructured":"Ravikumar, A.P., Bazilian, M., Webber, M.E.: The us role in securing the European union\u2019s near-term natural gas supply. Nat. Energy 7(6), 465\u2013467 (2022)","journal-title":"Nat. Energy"},{"issue":"6","key":"1402_CR68","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1038\/s41560-023-01260-5","volume":"8","author":"O Ruhnau","year":"2023","unstructured":"Ruhnau, O., Stiewe, C., Muessel, J., Hirth, L.: Natural gas savings in Germany during the 2022 energy crisis. Nat. Energy 8(6), 621\u2013628 (2023)","journal-title":"Nat. Energy"},{"key":"1402_CR69","unstructured":"Institute, E.: Statistical Review of World Energy. Energy Institute (2023)"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-025-01402-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11280-025-01402-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-025-01402-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T13:02:42Z","timestamp":1768654962000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11280-025-01402-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,17]]},"references-count":69,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["1402"],"URL":"https:\/\/doi.org\/10.1007\/s11280-025-01402-7","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,17]]},"assertion":[{"value":"20 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 November 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 December 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors declare no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Clinical trial number"}}],"article-number":"14"}}</enrichment>
    <enrichment key="opus_crossrefLicence">https://www.springernature.com/gp/researchers/text-and-data-mining</enrichment>
    <enrichment key="opus_import_origin">crossref</enrichment>
    <enrichment key="opus_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorIdentifierOrcid_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorIdentifierOrcid_4,PersonAuthorFirstName_5,PersonAuthorLastName_5,PersonAuthorIdentifierOrcid_5,PublisherName,TitleMain_1,Language,TitleParent_1,ArticleNumber,Issue,Volume,PublishedYear,IdentifierIssn,Enrichmentopus_crossrefLicence</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <author>Natalia Selini Hadjidimitriou</author>
    <submitter>Janina Zittel</submitter>
    <author>Thorsten Koch</author>
    <author>Marco Lippi</author>
    <author>Milena Petkovic</author>
    <author>Marco Mamei</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
