publications

2026

1. Modeling and tackling unit commitment constraint screening under uncertainty

   Xuan He ,  Honglin Wen ,  Yufan Zhang , and 2 more authors

   Applied Energy, 2026

2025

1. Optimizing for forecast stability in distribution-free probabilistic forecasting

   Jente Van Belle ,  Honglin Wen ,  Wouter Verbeke , and 1 more author

   In Joint ORBEL-NGB Conference, Date: 2025/01/29-2025/01/31, Location: Maastricht , 2025
2. Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting

   Yufan Zhang ,  Honglin Wen ,  Yuexin Bian , and 1 more author

   IEEE Transactions on Energy Markets, Policy and Regulation, 2025
3. Value-oriented forecast reconciliation for renewables in electricity markets

   Honglin Wen ,  and  Pierre Pinson

   European Journal of Operational Research, 2025
4. Pooling Probabilistic Forecasts for Cooperative Wind Power Offering

   Honglin Wen ,  and  Pierre Pinson

   arXiv preprint arXiv:2510.12382, 2025
5. Predict-then-Optimize for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream

   Chuanqing Pu ,  Feilong Fan ,  Nengling Tai , and 3 more authors

   arXiv preprint arXiv:2511.07938, 2025

2024

1. Toward value-oriented renewable energy forecasting: An iterative learning approach

   Yufan Zhang ,  Mengshuo Jia ,  Honglin Wen , and 2 more authors

   IEEE Transactions on Smart Grid, 2024
2. Efficient demand response location targeting for price spike mitigation by exploiting price-demand relationship

   Yufan Zhang ,  Honglin Wen ,  Tao Feng , and 1 more author

   Applied Energy, 2024
3. Fast unit commitment constraint screening with learning-based cost model

   Xuan He ,  Honglin Wen ,  Yufan Zhang , and 2 more authors

   In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) , 2024
4. Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach

   Honglin Wen

   Energy, 2024
5. Wind energy forecasting with missing values within a fully conditional specification framework

   Honglin Wen ,  Pierre Pinson ,  Jie Gu , and 1 more author

   International Journal of Forecasting, 2024
6. Marginalize, Rather than Impute: Probabilistic Wind Power Forecasting with Incomplete Data

   Honglin Wen ,  Pierre Pinson ,  Jie Gu , and 1 more author

   arXiv preprint arXiv:2403.03631, 2024

2023

1. Fast constraint screening for multi-interval unit commitment

   Xuan He ,  Jiayu Tian ,  Yufan Zhang , and 2 more authors

   In 2023 62nd IEEE Conference on Decision and Control (CDC) , 2023
2. A contextual bandit approach for value-oriented prediction interval forecasting

   Yufan Zhang ,  Honglin Wen ,  and  Qiuwei Wu

   IEEE Transactions on Smart Grid, 2023

2022

1. Optimal network partition and edge server placement for distributed state estimation

   Lyuzerui Yuan ,  Jie Gu ,  Jinghuan Ma , and 2 more authors

   Journal of Modern Power Systems and Clean Energy, 2022
2. Improved particle filter for non-gaussian forecasting-aided state estimation

   Lyuzerui Yuan ,  Jie Gu ,  Honglin Wen , and 1 more author

   Journal of Modern Power Systems and Clean Energy, 2022
3. An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning

   Kailang Wu ,  Jie Gu ,  Lu Meng , and 2 more authors

   Protection and Control of Modern Power Systems, 2022
4. Optimal adaptive prediction intervals for electricity load forecasting in distribution systems via reinforcement learning

   Yufan Zhang ,  Honglin Wen ,  Qiuwei Wu , and 1 more author

   IEEE Transactions on Smart Grid, 2022
5. Continuous and distribution-free probabilistic wind power forecasting: A conditional normalizing flow approach

   Honglin Wen ,  Pierre Pinson ,  Jinghuan Ma , and 2 more authors

   IEEE Transactions on Sustainable Energy, 2022
6. Skeleton sequence and RGB frame based multi-modality feature fusion network for action recognition

   Xiaoguang Zhu ,  Ye Zhu ,  Haoyu Wang , and 3 more authors

   ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022
7. Sparse variational Gaussian process based day-ahead probabilistic wind power forecasting

   Honglin Wen ,  Jinghuan Ma ,  Jie Gu , and 2 more authors

   IEEE Transactions on Sustainable Energy, 2022

2021

1. Probabilistic load forecasting via neural basis expansion model based prediction intervals

   Honglin Wen ,  Jie Gu ,  Jinghuan Ma , and 2 more authors

   IEEE transactions on smart grid, 2021

2020

1. Forecasting customers’ response to incentives during peak periods: A transfer learning approach

   Long Cai ,  Honglin Wen ,  Jie Gu , and 2 more authors

   International Transactions on Electrical Energy Systems, 2020
2. Featuring periodic correlations via dual granularity inputs structured RNNs ensemble load forecaster

   Lyuzerui Yuan ,  Jinghuan Ma ,  Jie Gu , and 2 more authors

   International Transactions on Electrical Energy Systems, 2020

2019

1. Probabilistic wind power forecasting via Bayesian deep learning based prediction intervals

   Honglin Wen ,  Jie Gu ,  Jinghuan Ma , and 1 more author

   In 2019 ieee 17th international conference on industrial informatics (indin) , 2019