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Titlebook: Advances in Greener Energy Technologies; Akash Kumar Bhoi,Karma Sonam Sherpa,Gyoo-Soo Chae Book 2020 Springer Nature Singapore Pte Ltd. 20

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發(fā)表于 2025-3-21 18:13:18 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Greener Energy Technologies
影響因子2023Akash Kumar Bhoi,Karma Sonam Sherpa,Gyoo-Soo Chae
視頻videohttp://file.papertrans.cn/149/148152/148152.mp4
發(fā)行地址All chapters are based on the advanced and latest published research in the area of renewable energy.Covers cutting-edge research in the area of green energy computing and management.Proposes practica
學科分類Green Energy and Technology
圖書封面Titlebook: Advances in Greener Energy Technologies;  Akash Kumar Bhoi,Karma Sonam Sherpa,Gyoo-Soo Chae Book 2020 Springer Nature Singapore Pte Ltd. 20
影響因子This book presents ongoing research activities of currently available renewable energy technologies and the approaches towards clean technology for enabling a socio-economic model for the present and future generations to live in a clean and healthy environment. The book provides chapter wise implementation of research works in the area of green energy technologies with proper methods used with solution strategies and energy efficiency approaches by combining theory and practical applications. Readers are introduced to practical problems of green computation and hybrid resources optimization with solution based approaches from the current research outcomes. The book will be of use to researchers, professionals, and policy-makers alike..
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https://doi.org/10.1057/9780230590526 (cascaded H-bridge) have been considered as dispensed power electronics system for PV power system. In this work, fuzzy logic-based control system has been employed for monitoring grid integration continuously which is also responsible to regulate cascaded H-bridge inverter.
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Michael Vickers,Daphne Nash Briggstions by varying the curve at different environmental conditions. Also, the comparative study is done between proposed and flower pollination algorithm and find the best optimization technique based on the speed of convergence and accuracy. The proposed Jaya algorithm has attained the fitness function within 30 iterations.
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