Decision-focused learning trains an LSTM PV forecaster on battery optimization objectives and cuts average electricity costs 3.6% versus standard two-stage forecasting despite 19.9% RMSE versus 8.2%.
Multi- resolution, multi-horizon distributed solar PV power forecasting with forecast combinations,
2 Pith papers cite this work. Polarity classification is still indexing.
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Simulation of water heater flexibility in a 41-household CSC community yields 70€/year per household savings with 6% higher self-consumption and 22% higher self-production; real-world deployment examines technical performance and user acceptance.
citing papers explorer
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Decision-focused learning for optimal PV-Battery scheduling
Decision-focused learning trains an LSTM PV forecaster on battery optimization objectives and cuts average electricity costs 3.6% versus standard two-stage forecasting despite 19.9% RMSE versus 8.2%.
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Enhancing Collective Self-Consumption through Water Storage Heater Flexibility
Simulation of water heater flexibility in a 41-household CSC community yields 70€/year per household savings with 6% higher self-consumption and 22% higher self-production; real-world deployment examines technical performance and user acceptance.