Honglin Wen - RankMe

27 papers C 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Value-oriented forecast reconciliation for renewables in electricity markets. Eur. J. Oper. Res. Honglin Wen, Pierre Pinson
2025	J	`jnl`	Pooling Probabilistic Forecasts for Cooperative Wind Power Offering. CoRR Honglin Wen, Pierre Pinson
2025	J	`jnl`	Predict-then-Optimize Method for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream. CoRR Chuanqing Pu, Feilong Fan, Nengling Tai, Yan Xu, Wentao Huang, Honglin Wen
2025	J	`jnl`	Toward Value-Oriented Renewable Energy Forecasting: An Iterative Learning Approach. IEEE Trans. Smart Grid Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuexin Bian, Yuanyuan Shi
2025	J	`jnl`	Value-oriented forecast reconciliation for renewables in electricity markets. CoRR Honglin Wen, Pierre Pinson
2024	J	`jnl`	A Contextual Bandit Approach for Value-Oriented Prediction Interval Forecasting. IEEE Trans. Smart Grid Yufan Zhang, Honglin Wen, Qiuwei Wu
2024	J	`jnl`	Efficient Unit Commitment Constraint Screening under Uncertainty. CoRR Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang
2024	—	`conf`	Fast Unit Commitment Constraint Screening with Learning-Based Cost Model. SmartGridComm Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang
2024	J	`jnl`	Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting. CoRR Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
2024	J	`jnl`	Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach. CoRR Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin
2023	J	`jnl`	Deriving Loss Function for Value-oriented Renewable Energy Forecasting. CoRR Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
2023	—	`conf`	Fast Constraint Screening for Multi-Interval Unit Commitment. CDC Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
2023	J	`jnl`	Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
2023	J	`jnl`	Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. IEEE Trans. Smart Grid Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai
2023	J	`jnl`	Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression. CoRR Honglin Wen
2023	J	`jnl`	Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages. CoRR Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuanyuan Shi
2022	J	`jnl`	A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting. CoRR Yufan Zhang, Honglin Wen, Qiuwei Wu
2022	J	`jnl`	Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach. CoRR Honglin Wen, Pierre Pinson, Jinghuan Ma, Jie Gu, Zhijian Jin
2022	J	`jnl`	Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
2022	J	`jnl`	Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. CoRR Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai
2022	J	`jnl`	Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. CoRR Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu
2022	J	`jnl`	Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu
2022	J	`jnl`	Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen
2022	J	`jnl`	Wind energy forecasting with missing values within a fully conditional specification framework. CoRR Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin
2021	J	`jnl`	Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals. IEEE Trans. Smart Grid Honglin Wen, Jie Gu, Jinghuan Ma, Lyuzerui Yuan, Zhijian Jin
2020	—	`conf`	Unearthing Details of Time Series of Load: A Dual-scale Input Structured LSTM Approach. e-Energy Lyuzerui Yuan, Jinghuan Ma, Jie Gu, Honglin Wen, Zhijian Jin
2019	C	`conf`	Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals. INDIN Honglin Wen, Jie Gu, Jinghuan Ma, Zhijian Jin