Phil Aupke

DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks

Firas Bayram, Phil Aupke, Bestoun S. Ahmed et al. · Engineering Applications of Artificial Intelligence · 2023 · 64 citations · Full text

Engineering, Machine Learning, Interval Load Forecasting +21

Integration of AI, IoT and Edge-Computing for Smart Microgrid Energy Management

Amal Nammouchi, Phil Aupke, Andreas Kassler et al. · 2021 · 23 citations

Engineering, Edge Device, Energy Efficiency +17

Robust opportunistic optimal energy management of a mixed microgrid under asymmetrical uncertainties

Amal Nammouchi, Phil Aupke, Fabio D’Andreagiovanni et al. · Sustainable Energy Grids and Networks · 2023 · 19 citations · Full text

Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning

Phil Aupke, Andreas Kassler, Andreas Theocharis et al. · 2021 · 10 citations · Full text