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Comparison of Direct vs Indirect Net Load Forecasting with Renewables
US & West ·
The study compares direct and indirect neural network approaches for one-hour-ahead net load forecasting, with the indirect method predicting load, wind, and solar separately and incorporating installed renewable capacity as a feature; indirect shows improved accuracy.
Why it matters
Improved net load forecasting is crucial for balancing power systems with high renewable penetration.
Two headroom-aware adaptive MPC strategies are developed for PV-dominated microgrids, accounting for stochastic and time-varying reserve headroom of inverter-based resources to avoid control saturation and improve load frequency control.
A systematic review of 66 studies (2023-2026) on LLMs for HVAC operations classifies methods and applications, revealing concentration on building energy modeling but few pilot-level deployments and no sustained operational use.
Methods for urban traffic digital twins are presented, emphasizing prediction and decision-making capabilities, powered by AI and cyber-physical systems, distinguishing them from traditional simulators.
