Machine Learning-Based Renewable Energy Systems Fault Mitigation and Economic Assessment

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Components and Systems Pub Date : 2024-05-20 DOI:10.1080/15325008.2024.2338557

Syed Ghyasuddin Hashmi, V. Balaji, Mohamed Uvaze Ahamed Ayoobkhan, Mohammad Shabbir Alam, R. Anilkuamr, Neerav Nishant, Jyoti Prasad Patra, A. Rajaram

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基于机器学习的可再生能源系统故障缓解与经济性评估

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Electric Power Components and Systems 工程技术-工程：电子与电气

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

7.2 months

期刊介绍： Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems. Specific topics covered include: -Electric machines- Solid-state control of electric machine drives- Power electronics converters- Electromagnetic fields in energy converters- Renewable energy generators and systems- Power system planning- Transmission and distribution- Power system protection- Dispatching and scheduling- Stability, reliability, and security- Renewable energy integration- Smart-grid and micro-grid technologies.