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Phil Aupke
Phil Aupke
PhD Student
在 kau.se 的电子邮件经过验证 - 首页
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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
142023
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
142021
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
102021
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
52023
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
32022
Uncertainity in Renewable Energy Time Series Prediction using Neural Networks
P Aupke
32021
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
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