A Hybrid Improved Whale Optimization Algorithm with Support Vector Machine for Short-Term Photovoltaic Power Prediction-Reference-Cited by-同舟云学术

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A Hybrid Improved Whale Optimization Algorithm with Support Vector Machine for Short-Term Photovoltaic Power Prediction

Published:2022-01-07 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Gao Bing¹,Yang Haiyue²,Lin Hsiung-Cheng³^ORCID,Wang Zhengping¹,Zhang Weipeng⁴,Li Hua⁵

Affiliation:

1. Department of Discover and Plan, State Grid Hengshui Electric Power Supply Company, Hengshui, China

2. Research Center of Economic and Technology, State Grid Hengshui Electric Power Supply Company, Hengshui, China

3. Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung, Taiwan

4. Power Supply Service Command Center, Tianjin Chengxi District Power Supply Company, Tianjin, China

5. School of Electrical Engineering, Hebei University of Technology, Tianjin, China

Funder

the Tianjin Natural Science Foundation

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2014187

Reference50 articles.

1. Extreme Learning Machines for Solar Photovoltaic Power Predictions

2. Assessment of Artificial Neural Networks Learning Algorithms and Training Datasets for Solar Photovoltaic Power Production Prediction

3. Effect of Prediction Error of Machine Learning Schemes on Photovoltaic Power Trading Based on Energy Storage Systems

4. A Method for Fault Detection in Wireless Sensor Network Based on Pearson’s Correlation Coefficient and Support Vector Machine Classification

5. Assessment of solar and wind energy potential in La Guajira, Colombia: Current status, and future prospects

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4. Enhanced Short-Term Photovoltaic Power Prediction using a Hybrid Improved Whale Optimization Algorithm with XGBoost;2024 Second International Conference on Smart Technologies for Power and Renewable Energy (SPECon);2024-04-02

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