| DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks F Bayram, P Aupke, BS Ahmed, A Kassler, A Theocharis, J Forsman Engineering Applications of Artificial Intelligence 123, 106480, 2023 | 14 | 2023 |
| Integration of AI, IoT and edge-computing for smart microgrid energy management A Nammouchi, P Aupke, A Kassler, A Theocharis, V Raffa, M Di Felice 2021 IEEE International Conference on Environment and Electrical Engineering …, 2021 | 14 | 2021 |
| Quantifying uncertainty for predicting renewable energy time series data using machine learning P Aupke, A Kassler, A Theocharis, M Nilsson, M Uelschen Engineering Proceedings 5 (1), 50, 2021 | 10 | 2021 |
| Robust opportunistic optimal energy management of a mixed microgrid under asymmetrical uncertainties A Nammouchi, P Aupke, F D’andreagiovanni, H Ghazzai, A Theocharis, ... Sustainable Energy, Grids and Networks 36, 101184, 2023 | 5 | 2023 |
| Impact of clustering methods on machine learning-based solar power prediction models P Aupke, A Kassler, A Theocharis, M Nilsson, IM Andersson 2022 IEEE International Smart Cities Conference (ISC2), 1-7, 2022 | 3 | 2022 |
| Uncertainity in Renewable Energy Time Series Prediction using Neural Networks P Aupke | 3 | 2021 |
| PV Power Production and Consumption Estimation with Uncertainty bounds in Smart Energy Grids P Aupke, A Theocharis, A Kassler, DE Archer 2023 IEEE International Conference on Environment and Electrical Engineering …, 2023 | | 2023 |
Andreas TheocharisAssociate Professor在 kau.se 的电子邮件经过验证
