Honglin Wen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Renewable Energy

Load Forecasting

Unit Commitment

Top Venues

IEEE Trans. Smart Grid

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach. CoRR (2024)
Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting. CoRR (2024)
Yufan Zhang, Honglin Wen, Qiuwei Wu
A Contextual Bandit Approach for Value-Oriented Prediction Interval Forecasting. IEEE Trans. Smart Grid 15 (2) (2024)
Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
Deriving Loss Function for Value-oriented Renewable Energy Forecasting. CoRR (2023)
Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR (2023)
Honglin Wen
Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression. CoRR (2023)
Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Fast Constraint Screening for Multi-Interval Unit Commitment. CDC (2023)
Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. IEEE Trans. Smart Grid 14 (4) (2023)
Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuanyuan Shi
Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages. CoRR (2023)
Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. CoRR (2022)
Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin
Wind energy forecasting with missing values within a fully conditional specification framework. CoRR (2022)
Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR (2022)
Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR (2022)
Yufan Zhang, Honglin Wen, Qiuwei Wu
A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting. CoRR (2022)
Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. CoRR (2022)
Honglin Wen, Pierre Pinson, Jinghuan Ma, Jie Gu, Zhijian Jin
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach. CoRR (2022)
Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18 (3) (2022)
Honglin Wen, Jie Gu, Jinghuan Ma, Lyuzerui Yuan, Zhijian Jin
Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals. IEEE Trans. Smart Grid 12 (4) (2021)
Lyuzerui Yuan, Jinghuan Ma, Jie Gu, Honglin Wen, Zhijian Jin
Unearthing Details of Time Series of Load: A Dual-scale Input Structured LSTM Approach. e-Energy (2020)
Honglin Wen, Jie Gu, Jinghuan Ma, Zhijian Jin
Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals. INDIN (2019)