@article{HirthMuehlenpfordtBulkeley, author = {Hirth, Lion and M{\"u}hlenpfordt, Jonathan and Bulkeley, Marisa}, title = {The ENTSO-E Transparency Platform. An assessment of Europe's most ambitious electricity data platform}, series = {Applied Energy}, volume = {225}, journal = {Applied Energy}, issn = {0306-2619}, doi = {10.1016/j.apenergy.2018.04.048}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:b1570-opus4-28171}, pages = {1054 -- 1067}, abstract = {Applied power system research is data intensive, often requiring hour-by-hour data on electricity consumption and generation as well as detailed information about technical and cost parameters of power stations. The European Union obliges firms to publish much of this information on a common website, the "ENTSO-E Transparency Platform" operated by the association of transmission system operators. It is possibly the most ambitious platform for power system data globally. However, anecdotal evidence from users indicates significant shortcomings regarding data quality and usability. This paper provides an introduction to and an assessment of the Transparency Platform, helping researchers to use it more efficiently and to judge data quality more rigorously.}, language = {en} } @article{WieseSchlechtBunkeetal., author = {Wiese, Frauke and Schlecht, Ingmar and Bunke, Wolf-Dieter and Gerbaulet, Clemens and Hirth, Lion and Jahn, Martin and Kunz, Friedrich and Lorenz, Casimir and M{\"u}hlenpfordt, Jonathan and Reimann, Juliane and Schill, Wolf-Peter}, title = {Open Power System Data - Frictionless data for electricity system modelling}, series = {Applied Energy}, volume = {236}, journal = {Applied Energy}, doi = {10.1016/j.apenergy.2018.11.097}, pages = {409}, abstract = {The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility in electricity system modelling. This paper describes the Open Power System Data platform that aims at realising the efficiency and quality gains of centralised data provision by collecting, checking, processing, aggregating, documenting and publishing data required by most modellers. We conclude that the platform can provide substantial benefits to energy system analysis by raising efficiency of data pre-processing, providing a method for making data pre-processing for energy system modelling traceable, flexible and reproducible and improving the quality of original data published by data providers.}, language = {en} }