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Titlebook: Sustainable Electrical Power Resources through Energy Optimization and Future Engineering; Shaharin Anwar Sulaiman,Ramani Kannan,Nursyariz

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发表于 2025-3-21 17:07:43 | 显示全部楼层 |阅读模式
书目名称Sustainable Electrical Power Resources through Energy Optimization and Future Engineering
编辑Shaharin Anwar Sulaiman,Ramani Kannan,Nursyarizal
视频videohttp://file.papertrans.cn/884/883219/883219.mp4
概述Tackles problems such as availability, peak load, and reliability of sustainable supply for power to consumers.Presents contributions on conventional and renewable energy, energy efficiency, and optim
丛书名称SpringerBriefs in Energy
图书封面Titlebook: Sustainable Electrical Power Resources through Energy Optimization and Future Engineering;  Shaharin Anwar Sulaiman,Ramani Kannan,Nursyariz
描述.This book presents recent science and engineering research in the field of conventional and renewable energy, energy efficiency and optimization, discussing problems such as availability, peak load and reliability of sustainable supply for power to consumers. Such research is imperative since efficient and environmentally friendly solutions are critical in modern electricity production and transmission..
出版日期Book 2018
关键词Load Frequency Control; Energy Optimization; Forecasting Solar Radiation; Load Profiling; Distributed En
版次1
doihttps://doi.org/10.1007/978-981-13-0435-4
isbn_softcover978-981-13-0434-7
isbn_ebook978-981-13-0435-4Series ISSN 2191-5520 Series E-ISSN 2191-5539
issn_series 2191-5520
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Shaharin Anwar Sulaiman,Ramani Kannan,Nursyarizal Tackles problems such as availability, peak load, and reliability of sustainable supply for power to consumers.Presents contributions on conventional and renewable energy, energy efficiency, and optim
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978-981-13-0434-7The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2018
发表于 2025-3-23 00:11:54 | 显示全部楼层
Sustainable Electrical Power Resources through Energy Optimization and Future Engineering978-981-13-0435-4Series ISSN 2191-5520 Series E-ISSN 2191-5539
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,Effect of Simpler Neill’s Mapping Function Models Using Non Linear Regression Method on Tropospherill’s Mapping Function has shown small error difference between them and not significance. The number of operations for simpler models has been reduced compared to the original model for both components.
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