Hao Quan
Orcid: 0000-0001-8723-7796Affiliations:
- Nanjing University of Science and Technology, Nanjing, Jiangsu, China
According to our database1,
Hao Quan
authored at least 13 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control.
Symmetry, June, 2024
Top-Oil Temperature Prediction of Power Transformer Based on Long Short-Term Memory Neural Network with Self-Attention Mechanism Optimized by Improved Whale Optimization Algorithm.
Symmetry, 2024
2023
A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks.
IEEE Syst. J., March, 2023
Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2020
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections.
IEEE Trans. Smart Grid, 2020
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids.
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
IEEE Trans. Smart Grid, 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
2015
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2014
Particle swarm optimization for construction of neural network-based prediction intervals.
Neurocomputing, 2014
2013
Construction of neural network-based prediction intervals for short-term electrical load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
2012
Construction of neural network-based prediction intervals using particle swarm optimization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012