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001010204 005__ 20240712112852.0
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001010204 037__ $$aFZJ-2023-03013
001010204 1001_ $$00009-0009-8468-4166$$aPütz, Sebastian$$b0$$eCorresponding author
001010204 1112_ $$ae-Energy '23: The 14th ACM International Conference on Future Energy Systems$$cOrlando FL $$d2023-06-20 - 2023-06-23$$wUSA
001010204 245__ $$aRegulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence
001010204 260__ $$bACM New York, NY, USA$$c2023
001010204 29510 $$aCompanion Proceedings of the 14th ACM International Conference on Future Energy Systems - ACM New York, NY, USA, 2023. - ISBN 9798400702273 - doi:10.1145/3599733.3600247
001010204 300__ $$a26-31
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001010204 520__ $$aA stable supply of electrical energy is essential for the functioning of our society. Therefore, energy and balancing markets of power grids are strictly regulated. With changes in technology, the economy and society, these regulations are also constantly adapted. However, whether these regulatory changes lead to the intended results is not easy to assess. Could eXplainable Artificial Intelligence (XAI) models distinguish regulatory settings and support the understanding of the effects of these changes? In this article, we explore two examples of regulatory changes: The splitting of the German-Austrian bidding zone and changes in the pricing schemes of the German balancing energy market. We find that boosted tree models and feedforward neural networks before and after a regulatory change differ in their respective parametrizations. Using Shapley additive explanations, we reveal model differences, e.g., in terms of feature importance, and identify key features of these distinct models. With this study, we demonstrate how XAI can be applied to investigate system changes in power systems.
001010204 536__ $$0G:(DE-HGF)POF4-1122$$a1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)$$cPOF4-112$$fPOF IV$$x0
001010204 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x1
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001010204 7001_ $$0P:(DE-Juel1)179250$$aKruse, Johannes$$b1
001010204 7001_ $$0P:(DE-Juel1)162277$$aWitthaut, Dirk$$b2
001010204 7001_ $$00000-0002-3572-9083$$aHagenmeyer, Veit$$b3
001010204 7001_ $$00000-0003-1607-9748$$aSchäfer, Benjamin$$b4
001010204 773__ $$a10.1145/3599733.3600247
001010204 8564_ $$uhttps://doi.org/10.1145/3599733.3600247
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001010204 9141_ $$y2023
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001010204 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
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