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Titlebook: Data Science of Renewable Energy Integration; The Nexus of Energy, Yuichi Ikeda Book 2024 Springer Nature Singapore Pte Ltd. 2024 Renewable

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發(fā)表于 2025-3-21 17:33:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science of Renewable Energy Integration
副標題The Nexus of Energy,
編輯Yuichi Ikeda
視頻videohttp://file.papertrans.cn/264/263132/263132.mp4
概述Provides readers with the scope to view renewable energy integration as establishing a distributed energy network.Analyzes carefully selected examples of renewable integration using different types of
叢書名稱Evolutionary Economics and Social Complexity Science
圖書封面Titlebook: Data Science of Renewable Energy Integration; The Nexus of Energy, Yuichi Ikeda Book 2024 Springer Nature Singapore Pte Ltd. 2024 Renewable
描述.This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency. It provides readers with the scope to view renewable energy integration as establishing a distributed energy network instead of the traditional centralized energy system. Specifically, quantitative valuation system-wise of the levelized cost of energy, which includes both initial cost and various operational costs, enables readers to optimize energy systems in order to minimize economic cost and environmental impact. It is noted, however, that the high cost of integrating renewable energy on a large scale might slow economic growth considerably. Topics addressed in the book also include statistical comparative study of the relationship between energy and economic growth, a graphical model of determinant factors for foreign direct investment in renewable energy, the coupled oscillator model and unitcommitment model to capture intermittency of renewable energy, and the network model of evolving micro-grids. The book explains desired innovation to reduce the integration cost significantly using innov
出版日期Book 2024
關鍵詞Renewable Energy; Economic Growth; Demand Side Management; Vehicle to Grid; Power Market; Data Science; Un
版次1
doihttps://doi.org/10.1007/978-981-99-8779-5
isbn_softcover978-981-99-8781-8
isbn_ebook978-981-99-8779-5Series ISSN 2198-4204 Series E-ISSN 2198-4212
issn_series 2198-4204
copyrightSpringer Nature Singapore Pte Ltd. 2024
The information of publication is updating

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https://doi.org/10.1007/978-981-99-8779-5Renewable Energy; Economic Growth; Demand Side Management; Vehicle to Grid; Power Market; Data Science; Un
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Asem Kasem,A. Ammar Ghaibeh,Hiroki MoriguchiThis chapter briefly explains the basics of statistics, regression analysis, and time series analysis.
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Statistical AnalysisThis chapter briefly explains the basics of statistics, regression analysis, and time series analysis.
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發(fā)表于 2025-3-23 03:36:18 | 只看該作者
Fluctuation and Correlation of Renewable EnergyWe are interested in multi-dimensional data for various practical purposes. However, it is often seen that the multi-dimensional data are hard to understand intuitively due to correlations between some of the dimensions of the data.
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發(fā)表于 2025-3-23 07:03:01 | 只看該作者
Blockchain Energy Trade SystemIn recent years, decentralized and open information systems based on blockchain technology have attracted much attention. Blockchain technology can effectively solve various global issues known as sustainable development goals, SDGs, and energy issues.
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