HW
Publications
- Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals
- Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning
- Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning
- Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting
- Continuous and Distribution-free Probabilistic Wind Power Forecasting
- Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
- Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
- Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms
- Wind energy forecasting with missing values within a fully conditional specification framework
- Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression