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Titlebook: Water and Energy Management in India; Artificial Neural Ne Mrinmoy Majumder,Ganesh D. Kale Book 2021 The Editor(s) (if applicable) and The

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書目名稱Water and Energy Management in India
副標(biāo)題Artificial Neural Ne
編輯Mrinmoy Majumder,Ganesh D. Kale
視頻videohttp://file.papertrans.cn/1022/1021097/1021097.mp4
概述Incorporates a wealth of research on the application of decision-making techniques.Provides Adaptive frameworks and bio-inspired optimization schemas in providing optimal solutions to various real-lif
圖書封面Titlebook: Water and Energy Management in India; Artificial Neural Ne Mrinmoy Majumder,Ganesh D. Kale Book 2021 The Editor(s) (if applicable) and The
描述.This book provides an innovative, realistic and reliable solution to the common problem of Indian water and energy sector due to the onset of the Impact of Climate Change and Large-Scale Urbanization. Twelve Case Studies and One Review Paper that were included in this book depict the way soft computation techniques, simulation and decision-making framework can optimize the best solution from multiple solutions to the problems of water and energy management which corresponds to a novel symbiotic and synchronous nexus between water and the energy sector. All the studies included in this book are collected from all parts of India. The selected studies utilized the latest technologies like Multi-Criteria Decision Frame Work, Neural Networks and Nature-Based Optimization techniques to achieve diverse objectives from the prediction of climatic parameters to yield from ungauged watershed to performance optimization of Water Treatment Plant, Hydropower as well as futuristic alternative energy systems like Wave to Power Plants..
出版日期Book 2021
關(guān)鍵詞Water management; Energy management; Artificial Neural Networks; Multi-Criteria Decision Making Approac
版次1
doihttps://doi.org/10.1007/978-3-030-66683-5
isbn_softcover978-3-030-66685-9
isbn_ebook978-3-030-66683-5
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Conclusionthe literature on the topic of applications of MCDM in climate science and water resources problems. There were seventy references having 11 different approaches of MCDM and these were assessed in this chapter. This chapter provided an integrated source of references, which could be beneficial for practitioners and researchers.
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Optimal Trade-Off Between the Energy—Economy of a Hydropower Plant for Better Management of the Renetilization and economic liability of hydropower plants respectively. Also for the present trade-off analysis, Differential Evolution is found to be a better optimization technique compared to FireFly Algorithm.
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