The Forecasting Model of Reactive Power Based on SVM

Author:

Bo Liming,Cheng Xueting,Liu Xinyuan,Zheng Huiping,Hao Jie

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Very Short-Term Reactive Power Forecasting Using Machine Learning-Based Algorithms;2024 9th International Youth Conference on Energy (IYCE);2024-07-02

2. Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model Approach;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

3. Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study;Energies;2023-10-25

4. Research on Power Load Forecasting Using Deep Neural Network and Wavelet Transform;International Journal of Information Technologies and Systems Approach;2023-04-28

5. A New False Data Injection Detection Protocol based Machine Learning for P2P Energy Transaction between CEVs;2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM);2022-10-26

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