‪Marcel Arpogaus‬ - ‪Google Scholar‬

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Co-authors

Oliver DürrProfessor of Data Science, Konstanz University of Applied SciencesVerified email at htwg-konstanz.de
Marcus VoßBirds on Mars, TU BerlinVerified email at tu-berlin.de
Beate SickZHAW, UZHVerified email at zhaw.ch
Manuela LinkeHTWG KonstanzVerified email at htwg-konstanz.de

Marcel Arpogaus

Marcel Arpogaus

HTWG Konstanz

Verified email at arpogaus.de

Machine Learning Smart Power Grid Optimisation Probabilistic Forecasting Density Regression


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Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows M Arpogaus, M Voß, B Sick, M Nigge-Uricher, O Dürr ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26 …, 2021	10	2021
Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows M Arpogaus, M Voss, B Sick, M Nigge-Uricher, O Dürr IEEE Transactions on Smart Grid, 2023	9	2023
2023 Index IEEE Transactions on Smart Grid Vol. 14 A Abazari, AO Abbas, A Abbaspour, AA Abdalla, J Abdella, AR Abhyankar, ... IEEE Transactions on Smart Grid 14 (6), 2023		2023
Probabilistic real-time grid operation management of future distribution grids with high penetration of renewable generators and electrical vehicles based on artificial … M Arpogaus, J Montalbano, M Linke, G Schubert CIRED Porto Workshop 2022: E-mobility and power distribution systems, 147-151, 2022		2022
Probabilistic Short-Term Load Forecasting using conditioned normalizing flows M Arpogaus		2020

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