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Foundation models for energy systems
Foundation models for energy systems
We explore foundation models trained on diverse energy data, targeting zero-shot forecasting and transfer to unseen power systems.
Physics-embedded learning for optimization
Physics-embedded learning for optimization
We embed power system physics into learning models for fast, feasible optimization.
Probabilistic forecasting and uncertainty
Probabilistic forecasting and uncertainty
We forecast uncertainty in demand, renewable generation, and grid capacity to support reliable decisions.
Intelligent energy management
Intelligent energy management
We combine learning and optimization to manage energy storage, smart homes, and energy-market participation.
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