49 citations · 125 across the 8 of their papers we have counts for
8 papers
Marginalize, Rather than Impute: Probabilistic Wind Power Forecasting with Incomplete Data
Honglin Wen, Pierre Pinson, Jie Gu +1
Machine learning methods are widely and successfully used for probabilistic wind power forecasting, yet the pervasive issue of missing values (e.g., due to sensor faults or communi…
Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach
Honglin Wen
Probabilistic wind power forecasting approaches have significantly advanced in recent decades. However, forecasters often assume data completeness and overlook the challenge of mis…
Efficient Demand Response Location Targeting for Price Spike Mitigation by Exploiting Price-demand Relationship
Yufan Zhang, Honglin Wen, Tao Feng +1
Demand response (DR) leverages demand-side flexibility, offering a promising approach to enhance market conditions like mitigating wholesale price spikes. However, poorly chosen DR…
A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting
Yufan Zhang, Honglin Wen, Qiuwei Wu
Prediction interval (PI) is an effective tool to quantify uncertainty and usually serves as an input to downstream robust optimization. Traditional approaches focus on improving th…
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
Honglin Wen, Pierre Pinson, Jinghuan Ma +2
We present a data-driven approach for probabilistic wind power forecasting based on conditional normalizing flow (CNF). In contrast with the existing, this approach is distribution…
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning
Yufan Zhang, Honglin Wen, Qiuwei Wu +1
Prediction intervals offer an effective tool for quantifying the uncertainty of loads in distribution systems. The traditional central PIs cannot adapt well to skewed distributions…
Wind energy forecasting with missing values within a fully conditional specification framework
Honglin Wen, Pierre Pinson, Jie Gu +1
Wind power forecasting is essential to power system operation and electricity markets. As abundant data became available thanks to the deployment of measurement infrastructures and…
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Xiaoguang Zhu, Ye Zhu, Haoyu Wang +3
Action recognition has been a heated topic in computer vision for its wide application in vision systems. Previous approaches achieve improvement by fusing the modalities of the sk…