| Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals H Wen, J Gu, J Ma, L Yuan, Z Jin IEEE Transactions on Smart Grid 12 (4), 3648-3660, 2021 | 26 | 2021 |
| Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition X Zhu, Y Zhu, H Wang, H Wen, Y Yan, P Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 20 | 2022 |
| Sparse Variational Gaussian Process Based Day-Ahead Probabilistic Wind Power Forecasting H Wen, J Ma, J Gu, L Yuan, Z Jin IEEE Transactions on Sustainable Energy 13 (2), 957-970, 2022 | 20 | 2022 |
| Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach H Wen, P Pinson, J Ma, J Gu, Z Jin IEEE Transactions on Sustainable Energy 13 (4), 2250-2263, 2022 | 13 | 2022 |
| Forecasting customers' response to incentives during peak periods: A transfer learning approach L Cai, H Wen, J Gu, J Ma, Z Jin International Transactions on Electrical Energy Systems 30 (7), e12251, 2020 | 13 | 2020 |
| Probabilistic wind power forecasting via bayesian deep learning based prediction intervals H Wen, J Gu, J Ma, Z Jin 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 13 | 2019 |
| Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning Y Zhang, H Wen, Q Wu, Q Ai IEEE Transactions on Smart Grid, 14 (4), 3259 - 3270, 2023 | 12 | 2023 |
| Wind energy forecasting with missing values within a fully conditional specification framework H Wen, P Pinson, J Gu, Z Jin arXiv preprint arXiv:2203.08252v2, 2022 | 8 | 2022 |
| A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting Y Zhang, H Wen, Q Wu IEEE Transactions on Smart Grid, 2023 | 6 | 2023 |
| Improved Particle Filter for Non-Gaussian Forecasting-Aided State Estimation L Yuan, J Gu, H Wen, Z Jin Journal of Modern Power Systems and Clean Energy, 2022 | 6 | 2022 |
| Featuring periodic correlations via dual granularity inputs structured RNNs ensemble load forecaster L Yuan, J Ma, J Gu, H Wen, Z Jin International Transactions on Electrical Energy Systems 30 (11), e12571, 2020 | 5 | 2020 |
| Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages Y Zhang, M Jia, H Wen, Y Shi arXiv preprint arXiv:2309.00803, 2023 | 2 | 2023 |
| Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model X He, H Wen, Y Zhang, Y Chen arXiv preprint arXiv:2212.00483, 2022 | 2 | 2022 |
| Optimal Network Partition and Edge Server Placement for Distributed State Estimation L Yuan, J Gu, J Ma, H Wen, Z Jin Journal of Modern Power Systems and Clean Energy 10 (6), 1637-1647, 2022 | 2 | 2022 |
| Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach H Wen arXiv preprint arXiv:2305.14662, 2023 | 1* | 2023 |
| Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach H Wen, P Pinson, J Gu, Z Jin arXiv preprint arXiv:2403.03631, 2024 | | 2024 |
| Fast Constraint Screening for Multi-Interval Unit Commitment X He, J Tian, Y Zhang, H Wen, Y Chen 2023 62nd IEEE Conference on Decision and Control (CDC), 577-583, 2023 | | 2023 |
| Deriving Loss Function for Value-oriented Renewable Energy Forecasting Y Zhang, H Wen, Y Bian, Y Shi arXiv preprint arXiv:2310.00571, 2023 | | 2023 |
| Efficient Demand Response for Price Spike Mitigation Via Price-Demand Policy Y Zhang, H Wen, T Feng, Y Chen Available at SSRN 4579140, 2023 | | 2023 |
Yufan ZhangUniversity of California San DiegoVerified email at ucsd.edu
