Honglin Wen

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
• A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting
• Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach