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Honglin Wen
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2020 – today
- 2024
- [j4]Yufan Zhang
, Honglin Wen
A Contextual Bandit Approach for Value-Oriented Prediction Interval Forecasting. IEEE Trans. Smart Grid 15(2): 2271-2281 (2024) - [c4]Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang:
Fast Unit Commitment Constraint Screening with Learning-Based Cost Model. SmartGridComm 2024: 295-300 - [i14]Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin:
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach. CoRR abs/2403.03631 (2024) - [i13]Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi:
Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting. CoRR abs/2405.09004 (2024) - [i12]Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang:
Efficient Unit Commitment Constraint Screening under Uncertainty. CoRR abs/2408.05185 (2024) - 2023
- [j3]Yufan Zhang
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. IEEE Trans. Smart Grid 14(4): 3259-3270 (2023) - [c3]Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen:
Fast Constraint Screening for Multi-Interval Unit Commitment. CDC 2023: 577-583 - [i11]Honglin Wen:
Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression. CoRR abs/2305.14662 (2023) - [i10]Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuanyuan Shi:
Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages. CoRR abs/2309.00803 (2023) - [i9]Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen:
Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR abs/2309.05894 (2023) - [i8]Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi:
Deriving Loss Function for Value-oriented Renewable Energy Forecasting. CoRR abs/2310.00571 (2023) - 2022
- [j2]Xiaoguang Zhu
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 80:1-80:24 (2022) - [i7]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 abs/2202.11374 (2022) - [i6]Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin:
Wind energy forecasting with missing values within a fully conditional specification framework. CoRR abs/2203.08252 (2022) - [i5]Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai:
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning. CoRR abs/2205.08698 (2022) - [i4]Honglin Wen, Pierre Pinson, Jinghuan Ma, Jie Gu, Zhijian Jin:
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach. CoRR abs/2206.02433 (2022) - [i3]Yufan Zhang, Honglin Wen, Qiuwei Wu:
A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting. CoRR abs/2210.04152 (2022) - [i2]Yufan Zhang, Honglin Wen, Tao Feng
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR abs/2211.14806 (2022) - [i1]Xuan He, Honglin Wen, Yufan Zhang, Yize Chen:
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR abs/2212.00483 (2022) - 2021
- [j1]Honglin Wen
Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals. IEEE Trans. Smart Grid 12(4): 3648-3660 (2021) - 2020
- [c2]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: 419-427
2010 – 2019
- 2019
- [c1]Honglin Wen, Jie Gu, Jinghuan Ma, Zhijian Jin:
Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals. INDIN 2019: 1091-1096
Coauthor Index
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