2 papers
eess.SY2025
Reinforcement Learning Based Symbolic Regression for Load Modeling
Ding Lin, Han Guo, Jianhui Wang +2
With the increasing penetration of renewable energy sources, growing demand variability, and evolving grid control strategies, accurate and efficient load modeling has become a cri…
eess.SY2025
DALNet: A Denoising Diffusion Probabilistic Model for High-Fidelity Day-Ahead Load Forecasting
Han Guo, Ding Lin
Accurate probabilistic load forecasting is crucial for maintaining the safety and stability of power systems. However, the mainstream approach, multi-step prediction, is hindered b…