受强制性开放获取政策约束的文章 - Malte Lehna了解详情
无法在其他位置公开访问的文章：1 篇
Towards the prediction of electricity prices at the intraday market using shallow and deep-learning methods
C Scholz, M Lehna, K Brauns, A Baier
Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020 …, 2021
强制性开放获取政策： Fraunhofer-Gesellschaft
可在其他位置公开访问的文章：4 篇
Forecasting day-ahead electricity prices: A comparison of time series and neural network models taking external regressors into account
M Lehna, F Scheller, H Herwartz
Energy Economics 106, 105742, 2022
强制性开放获取政策： Fraunhofer-Gesellschaft
Artificial intelligence for electricity supply chain automation
L Richter, M Lehna, S Marchand, C Scholz, A Dreher, S Klaiber, S Lenk
Renewable and Sustainable Energy Reviews 163, 112459, 2022
强制性开放获取政策： Fraunhofer-Gesellschaft, Federal Ministry of Education and Research, Germany
A Reinforcement Learning approach for the continuous electricity market of Germany: Trading from the perspective of a wind park operator
M Lehna, B Hoppmann, C Scholz, R Heinrich
Energy and AI 8, 100139, 2022
强制性开放获取政策： Fraunhofer-Gesellschaft
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
M Lehna, J Viebahn, A Marot, S Tomforde, C Scholz
Energy and AI 14, 100276, 2023
强制性开放获取政策： Fraunhofer-Gesellschaft
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