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A Survey of Machine Learning Applications in Renewable Energy Sources

Published:2022-11-15 Issue: Volume: Page:1-18
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Kishore Pulavarthi Satya Venkata¹^ORCID,Rajesh Jami²^ORCID,Jayaram Nakka²,Halder Sukanta³

Affiliation:

1. Department of Electrical and Electronics Engineering, Sri Vasavi Engineering College, Tadepaliigudem, Andhra Pradesh, India

2. Department of Electrical Engineering, National Institute of Technology, Tadepalligudam, Andhra Pradesh, India

3. Department of Electrical Engineering, Sardar Vallabhbhai National institute of Technology, Surat, Gujarat, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2143439

Reference120 articles.

1. Machine learning driven smart electric power systems: Current trends and new perspectives

2. A Survey of Machine Learning Models in Renewable Energy Predictions

3. A review of deep learning for renewable energy forecasting

4. Renewable energy and energy storage systems

5. Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment

Cited by 2 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. A novel trading strategy to assess techno-economics of wind farms in both energy and reserve markets;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-03

2. Intelligent Controller Design and Fault Prediction for Renewable Energy Sources Using Bi-directional GRU and GEO Methods;Electric Power Components and Systems;2023-08-02

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