49 citations · 125 across the 8 of their papers we have counts for
Showing stat.APShow all
3 papers · 1 filter
stat.AP2023
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…
stat.AP2022★ 33 cited
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…
stat.AP2022★ 18 cited
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…