Tag: AI Energy Management
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SolarTformer: Transformer Model for Short-Term Solar Forecasting
SolarTformer uses transformer-based deep learning to deliver accurate short-term solar power forecasts, enhancing grid stability and renewable energy manag...
Physics-Informed Load Forecasting for U.S. Grid Resilience
Enhance U.S. grid resilience with physics-informed load forecasting using SHAP-guided hybrid deep learning during extreme weather events.
Safe Deep Reinforcement Learning for Efficient Heating Control
Optimize building heating with safe deep reinforcement learning to boost energy efficiency, comfort, and demand-side flexibility in smart buildings.
Physics-Informed Models for Accurate Off-Grid Solar Forecasting
Discover efficient physics-informed state space models for reliable solar irradiance forecasting in off-grid photovoltaic systems with enhanced accuracy.
Performance and Energy Trade-offs in Multi-Request LLM Workflows
Explore how multi-request workflows impact large language models' performance and energy use, with strategies to optimize latency and efficiency.