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Author

Yongning Zhao

Observed name: Zhao Yongning
ORCID: 0000-0001-6361-6839
Observed ORCID: 0000-0001-6361-6839
OpenAlex ID: A5062419962
A novel bidirectional mechanism based on time series model for wind power forecasting
2016 · Yongning Zhao, Lin Ye, et al. · Applied Energy · 224
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Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
2021 · Peng Lu, Lin Ye, et al. · Applied Energy · 192
Data-Driven Correction Approach to Refine Power Curve of Wind Farm Under Wind Curtailment
2017 · Yongning Zhao, Lin Ye, et al. · IEEE Transactions on Sustainable Energy · 179
Correlation-Constrained and Sparsity-Controlled Vector Autoregressive Model for Spatio-Temporal Wind Power Forecasting
2018 · Yongning Zhao, Lin Ye, et al. · IEEE Transactions on Power Systems · 176
Short-term wind power prediction based on extreme learning machine with error correction
2016 · Zhi Li, Lin Ye, et al. · Protection and Control of Modern Power Systems · 168
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Hierarchical Model Predictive Control Strategy Based on Dynamic Active Power Dispatch for Wind Power Cluster Integration
2019 · Lin Ye, Cihang Zhang, et al. · IEEE Transactions on Power Systems · 130
Short-term wind power prediction based on spatial model
2016 · Lin Ye, Yongning Zhao, et al. · Renewable Energy · 130
A Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
2022 · Zhuo Li, Lin Ye, et al. · IEEE Transactions on Sustainable Energy · 104
Short-term wind power forecasting based on meteorological feature extraction and optimization strategy
2021 · Peng Lu, Lin Ye, et al. · Renewable Energy · 93
A novel spatio-temporal wind power forecasting framework based on multi-output support vector machine and optimization strategy
2020 · Peng Lu, Lin Ye, et al. · Journal of Cleaner Production · 86
An ensemble method for short-term wind power prediction considering error correction strategy
2022 · Lin Ye, Binhua Dai, et al. · Applied Energy · 79
Interpretable multi-graph convolution network integrating spatio-temporal attention and dynamic combination for wind power forecasting
2024 · Yongning Zhao, Haohan Liao, et al. · Expert Systems with Applications · 59
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Feature extraction of meteorological factors for wind power prediction based on variable weight combined method
2021 · Peng Lu, Lin Ye, et al. · Renewable Energy · 58
A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA
2018 · Peng Lu, Lin Ye, et al. · Energies · 58
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A hierarchical dispatch strategy of hybrid energy storage system in internet data center with model predictive control
2022 · Kaifeng Wang, Lin Ye, et al. · Applied Energy · 57
Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model
2022 · Ming Pei, Lin Ye, et al. · Energy Reports · 57
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Ultra-short-term wind power forecasting based on personalized robust federated learning with spatial collaboration
2023 · Yongning Zhao, Shiji Pan, et al. · Energy · 56
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A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching
2022 · Lin Ye, Yilin Li, et al. · Applied Energy · 53
Optimal operation of compressor units in gas networks to provide flexibility to power systems
2021 · Yongning Zhao, Xiandong Xu, et al. · Applied Energy · 53
Ultra-short-term combined prediction approach based on kernel function switch mechanism
2020 · Peng Lu, Lin Ye, et al. · Renewable Energy · 47
Interpreting LASSO regression model by feature space matching analysis for spatio-temporal correlation based wind power forecasting
2024 · Yongning Zhao, Yuan Zhao, et al. · Applied Energy · 37
Optimal scheduling strategy of electricity and thermal energy storage based on soft actor-critic reinforcement learning approach
2024 · Yingying Zheng, Hui Wang, et al. · Journal of Energy Storage · 34
Study of assessment on capability of wind power accommodation in regional power grids
2018 · Lin Ye, Cihang Zhang, et al. · Renewable Energy · 33
Data-augmented trend-fluctuation representations by interpretable contrastive learning for wind power forecasting
2024 · Yongning Zhao, Haohan Liao, et al. · Applied Energy · 28
An aggregator-based dynamic pricing mechanism and optimal scheduling scheme for the electric vehicle charging
2023 · Yuxi Liu, Jie Zhu, et al. · Frontiers in Energy Research · 28
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Works count: 71
Citation count: 2,399
H-index: 25
I10-index: 32
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