@inproceedings{ReichRathjenAdam2025, author = {Reich, Marius and Rathjen, Patrick and Adam, Mario}, title = {Precomputed ML Surrogates for Energy System Design: Methodology and In-Depth Evaluation}, series = {Book of Abstracts 2025: 11th International Conference on Smart Energy Systems, 16-17 September 2025. Copenhagen}, booktitle = {Book of Abstracts 2025: 11th International Conference on Smart Energy Systems, 16-17 September 2025. Copenhagen}, editor = {Henrik, Lund and Brain Vad, Mathiesen and {\O}stergaard, Poul Alberg and Thellufsen, Jakob Zinck and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, year = {2025}, language = {en} } @article{MuenchPriesmannReichetal.2024, author = {M{\"u}nch, Justin and Priesmann, Jan and Reich, Marius and Tillmanns, Marius and Praktiknjo, Aaron and Adam, Mario}, title = {Uplifting the Complexity of Analysis for Probabilistic Security of Electricity Supply Assessments using Artificial Neural Networks}, series = {Energy and AI}, journal = {Energy and AI}, publisher = {Elsevier}, issn = {2666-5468}, doi = {10.1016/j.egyai.2024.100401}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-45359}, year = {2024}, abstract = {The energy sector faces rapid decarbonisation and decision-makers demand reliable assessments of the security of electricity supply. For this, detailed simulation models with a high temporal and technological resolution are required. When confronted with increasing weather-dependent renewable energy generation, probabilistic simulation models have proven. The significant computational costs of calculating a scenario, however, limit the complexity of further analysis. Advances in code optimization as well as the use of computing clusters still lead to runtimes of up to eight hours per scenario. However ongoing research highlights that tailor-made approximations are potentially the key factor in further reducing computing time. Consequently, current research aims to provide a method for the rapid prediction of widely varying scenarios. In this work artificial neural networks (ANN) are trained and compared to approximate the system behavior of the probabilistic simulation model. To do so, information needs to be sampled from the probabilistic simulation in an efficient way. Because only a limited space in the whole design space of the 16 independent variables is of interest, a classification is developed. Finally it required only around 35 minutes to create the regression models, including sampling the design space, simulating the training data and training the ANNs. The resulting ANNs are able to predict all scenarios within the validity range of the regression model with a coefficient of determination of over 0.9998 for independent test data (1.051.200 data points). They need only a few milliseconds to predict one scenario, enabling in-depth analysis in a brief period of time.}, language = {en} } @article{PriesmannMuenchTillmannsetal.2024, author = {Priesmann, Jan and M{\"u}nch, Justin and Tillmanns, Marius and Ridha, E. and Spiegel, Thomas and Reich, Marius and Adam, Mario and Nolting, L. and Praktiknjo, Aaron}, title = {Artificial intelligence and design of experiments for resource adequacy assessment in power systems}, series = {Energy Strategy Reviews}, volume = {53}, journal = {Energy Strategy Reviews}, publisher = {Elsevier}, issn = {2211-467X}, doi = {10.1016/j.esr.2024.101368}, year = {2024}, language = {en} } @inproceedings{ReichPatrickAdam2024, author = {Reich, Marius and Patrick, Rathjen and Adam, Mario}, title = {Harnessing Machine Learning for Rapid Optimization: Integration of Time Series Data into Prior Approximation of Energy System Simulations}, series = {Book of Abstracts :10th International Conference on Smart Energy Systems}, booktitle = {Book of Abstracts :10th International Conference on Smart Energy Systems}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Poul Alberg and Thellufsen, Jakob Zinck and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {73}, year = {2024}, language = {en} } @inproceedings{GottschaldReichAdam2023, author = {Gottschald, Jonas and Reich, Marius and Adam, Mario}, title = {Lessons Learned: On the Potentials and Challenges of a Model Predictive Controlled DHN Heat Supply}, series = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, booktitle = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Paul Alberg and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {87 -- 87}, year = {2023}, language = {en} } @inproceedings{ReichPrusasAdam2023, author = {Reich, Marius and Prusas, Benedikt and Adam, Mario}, title = {Prior-Approximation of Rule-Based Energy System Simulation for Fast Design Optimization}, series = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, booktitle = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Paul Alberg and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {115}, year = {2023}, language = {en} } @misc{GottschaldReichAdam2021, author = {Gottschald, Jonas and Reich, Marius and Adam, Mario}, title = {Lernende Algorithmen - K{\"u}nstliche Intelligenz f{\"u}r W{\"a}rmenetze}, series = {hn21 Journal}, journal = {hn21 Journal}, number = {2021}, publisher = {Zentrum f{\"u}r Forschungskommunikation}, address = {K{\"o}ln}, pages = {8 -- 8}, year = {2021}, language = {de} } @unpublished{PriesmannMuenchRidhaetal.2021, author = {Priesmann, Jan and M{\"u}nch, Justin and Ridha, Elias and Spiegel, Thomas and Reich, Marius and Adam, Mario and Nolting, Lars and Praktiknjo, Aaron}, title = {Artificial Intelligence and Design of Experiments for Assessing Security of Electricity Supply: A Review and Strategic Outlook}, publisher = {arXiv}, doi = {https://doi.org/10.48550/arXiv.2112.04889}, year = {2021}, abstract = {Assessing the effects of the energy transition and liberalization of energy markets on resource adequacy is an increasingly important and demanding task. The rising complexity in energy systems requires adequate methods for energy system modeling leading to increased computational requirements. Furthermore, with complexity, uncertainty increases likewise calling for probabilistic assessments and scenario analyses. To adequately and efficiently address these various requirements, new methods from the field of data science are needed to accelerate current methods. With our systematic literature review, we want to close the gap between the three disciplines (1) assessment of security of electricity supply, (2) artificial intelligence, and (3) design of experiments. For this, we conduct a large-scale quantitative review on selected fields of application and methods and make a synthesis that relates the different disciplines to each other. Among other findings, we identify metamodeling of complex security of electricity supply models using AI methods and applications of AI-based methods for forecasts of storage dispatch and (non-)availabilities as promising fields of application that have not sufficiently been covered, yet. We end with deriving a new methodological pipeline for adequately and efficiently addressing the present and upcoming challenges in the assessment of security of electricity supply.}, language = {en} } @misc{LambachKowalskiReichetal.2020, author = {Lambach, Stefan and Kowalski, M. and Reich, Marius and Adam, Mario}, title = {Vermessung und Modellierung eines Komfort-L{\"u}ftungsger{\"a}tes mit passiver W{\"a}rmer{\"u}ckgewinnung und aktiver, umschaltbarer Luft/Luft-W{\"a}rmepumpe im K{\"u}hlbetrieb}, series = {KI K{\"a}lte Luft Klimatechnik}, volume = {56}, journal = {KI K{\"a}lte Luft Klimatechnik}, number = {10}, publisher = {H{\"u}thig}, issn = {1865-5432}, pages = {48 -- 55}, year = {2020}, language = {de} } @article{NoltingSpiegelReichetal.2020, author = {Nolting, Lars and Spiegel, Thomas and Reich, Marius and Adam, Mario and Praktiknjo, Aaron}, title = {Can energy system modeling benefit from artificial neural networks? Application of two-stage metamodels to reduce computation of security of supply assessments}, series = {Computers \& Industrial Engineering}, volume = {142}, journal = {Computers \& Industrial Engineering}, publisher = {Elsevier}, issn = {0360-8352}, doi = {10.1016/j.cie.2020.106334}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-26979}, year = {2020}, language = {en} } @inproceedings{GottschaldReichAdametal.2020, author = {Gottschald, Jonas and Reich, Marius and Adam, Mario and Leibauer, R.}, title = {Selbstlernende Betriebsoptimierung einer hybriden Nahw{\"a}rmeversorgung}, series = {Fachkonferenz Digitalisieren - Sektoren koppeln - Flexibilisieren, 24.11.2020, Berlin}, booktitle = {Fachkonferenz Digitalisieren - Sektoren koppeln - Flexibilisieren, 24.11.2020, Berlin}, address = {Berlin}, organization = {Fraunhofer IOSB}, year = {2020}, language = {de} } @article{ReichGottschaldRiegebaueretal.2020, author = {Reich, Marius and Gottschald, Jonas and Riegebauer, Philipp and Adam, Mario}, title = {Predictive Control of District Heating System Using Multi-Stage Nonlinear Approximation with Selective Memory}, series = {Energies}, volume = {13}, journal = {Energies}, number = {24}, publisher = {MDPI}, issn = {1996-1073}, doi = {10.3390/en13246714}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-33627}, year = {2020}, language = {en} } @inproceedings{MuenchReichAdam2020, author = {M{\"u}nch, Justin and Reich, Marius and Adam, Mario}, title = {Entwicklung eines Tools zur automatisierten Optimierung von Energiesystemen durch Maschinelles Lernen}, series = {RET.Con 2020. 3. Regenerative Energietechnik Konferenz, 13.-14.02.2020, Nordhausen}, booktitle = {RET.Con 2020. 3. Regenerative Energietechnik Konferenz, 13.-14.02.2020, Nordhausen}, editor = {Wesselak, Viktor}, publisher = {Hochschule Nordhausen}, address = {Nordhausen}, organization = {Hochschule Nordhausen}, isbn = {978-3-940820-16-7}, doi = {10.22032/dbt.46243}, pages = {152 -- 156}, year = {2020}, language = {de} } @article{BiedermannReichKameieretal.2019, author = {Biedermann, Till M. and Reich, Marius and Kameier, Frank and Adam, Mario}, title = {Assessment of statistical sampling methods and approximation models applied to aeroacoustic and vibroacoustic problems}, series = {Advances in Aircraft and Spacecraft Science}, volume = {6}, journal = {Advances in Aircraft and Spacecraft Science}, number = {6}, publisher = {Techno Press}, issn = {2287-528X}, doi = {10.12989/aas.2019.6.6.531}, pages = {529 -- 550}, year = {2019}, language = {en} } @inproceedings{AdamGottschaldReichetal.2019, author = {Adam, Mario and Gottschald, Jonas and Reich, Marius and G{\"o}tzelmann, Dennis}, title = {BestHeatNet - Selbstlernende Betriebsoptimierung einer hybriden Nahw{\"a}rmeversorgung}, series = {Der Geothermiekongress, 19.-21.11.2019, M{\"u}nchen}, booktitle = {Der Geothermiekongress, 19.-21.11.2019, M{\"u}nchen}, address = {M{\"u}nchen}, year = {2019}, language = {de} } @inproceedings{ReichAdamLambach2018, author = {Reich, Marius and Adam, Mario and Lambach, Stefan}, title = {Comparison of different Methods for Approximating Models of Energy Supply Systems and Polyoptimising the Systems-Structure and Components-Dimension}, series = {30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2017), San Diego, California, USA, 2-6 July 2017}, booktitle = {30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2017), San Diego, California, USA, 2-6 July 2017}, publisher = {Curran Associates Inc}, address = {Red Hook, NY}, isbn = {9781510862562}, pages = {2921 -- 2933}, year = {2018}, language = {en} } @inproceedings{BiedermannReichKameieretal.2018, author = {Biedermann, Till M. and Reich, Marius and Kameier, Frank and Adam, Mario and Paschereit, C.}, title = {Assessment of Statistical Sampling Methods and Approximation Models Applied to Aeroacoustic and Vibroacoustic Problem}, series = {NOVEM - 6th conference on Noise and Vibration emerging methods, 07.-09.05.2018, Ibiza / Spain}, booktitle = {NOVEM - 6th conference on Noise and Vibration emerging methods, 07.-09.05.2018, Ibiza / Spain}, address = {Ibiza}, year = {2018}, language = {en} } @inproceedings{GottschaldAdamReich2018, author = {Gottschald, Jonas and Adam, Mario and Reich, Marius}, title = {Multi-Objective Optimization of a District Heating Networks Energy Supply Systems Structure and Dimension}, series = {SDH - 5th International Solar District Heating Conference, 11.-12.04.2018, Graz / Austria}, booktitle = {SDH - 5th International Solar District Heating Conference, 11.-12.04.2018, Graz / Austria}, address = {Graz}, organization = {SDH projects}, year = {2018}, language = {en} } @inproceedings{NoltingSpiegelReichetal.2018, author = {Nolting, Lars and Spiegel, Thomas and Reich, Marius and Adam, Mario and Praktiknjo, Aaron}, title = {Can Energy System Modeling benefit from Artificial Neural Networks? Application of Two-Stage Metamodels to Reduce Computation of Security of Supply Assessments (Best Application Paper Award)}, series = {CIE - 48th International Conference on Computers \& Industrial Engineering, 02.-05.12.2018, Auckland / New Zealand}, booktitle = {CIE - 48th International Conference on Computers \& Industrial Engineering, 02.-05.12.2018, Auckland / New Zealand}, address = {Auckland}, year = {2018}, language = {en} } @inproceedings{ReichAdamGottschald2018, author = {Reich, Marius and Adam, Mario and Gottschald, Jonas}, title = {Robust Optimization of District Heating Networks Structure and Dimension combining Metamodels and Multi-Objective Optimization}, series = {ECOS - 31th International Conference on Efficiency, Cost, Optimization, Simulation and Enviromental Impact of Energy Systems, 17.-21.06.2018, Guimaraes / Portugal}, booktitle = {ECOS - 31th International Conference on Efficiency, Cost, Optimization, Simulation and Enviromental Impact of Energy Systems, 17.-21.06.2018, Guimaraes / Portugal}, address = {Guimaraes}, year = {2018}, language = {en} } @incollection{GottschaldReichAdam2018, author = {Gottschald, Jonas and Reich, Marius and Adam, Mario}, title = {Multikriterielle Auslegung der Energieversorgung eines Nahw{\"a}rmenetzes}, series = {RET.Con 2018. Tagungsband : 1. Regenerative Energietechnik-Konferenz in Nordhausen 8.-9. Februar 2018}, booktitle = {RET.Con 2018. Tagungsband : 1. Regenerative Energietechnik-Konferenz in Nordhausen 8.-9. Februar 2018}, editor = {Hochschule Nordhausen,}, publisher = {Hochschule Nordhausen}, address = {Nordhausen}, organization = {Hochschule Nordhausen}, doi = {10.22032/dbt.45831}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20200904-111850-006}, pages = {141 -- 148}, year = {2018}, language = {de} }