Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction

IF 1.7 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Electric Power Components and Systems Pub Date : 2024-02-29 DOI:10.1080/15325008.2024.2317369
Kumaraswamy Shivashankaraiah, Gadigi Shashibhushan, Arumugam Prema Kirubakaran, Chowdappa Anjanappa, Pradosh Kumar Sharma, Ishwarya Mayiladuthurai Vaidyanathan, Syed Noeman Taqui, Sami Al Obaid, Saleh Alfarraj
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Abstract

Due to its significant solar energy generation, solar PV power facilities have recently been utilized. Although PV power stations are highly preferable, the state’s fundamental drawback is that its...
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开发用于太阳能光伏发电功率预测的深度学习和可靠优化技术
由于太阳能发电量巨大,太阳能光伏发电设施最近得到了利用。虽然光伏发电站非常可取,但该州的根本缺点是其...
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来源期刊
Electric Power Components and Systems
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
95
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.
期刊最新文献
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