Overview
- 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-life problems of water and energy sectors
- Explains implementation of techniques on diverse topics underwater and energy management
- Depicts Application of Different Machine Learning and Data Science Techniques
- Shows Real-Life Case Studies on implementation and development of real-time monitoring and predictive systems
- Includes Sustainable management Situation in the water and energy sector in face of climatic as well as anthropogenic uncertainties
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Table of contents (14 chapters)
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Front Matter
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Water Management
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Front Matter
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Energy Management
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Water and Energy Management in India
Book Subtitle: Artificial Neural Networks and Multi-Criteria Decision Making Approaches
Editors: Mrinmoy Majumder, Ganesh D. Kale
DOI: https://doi.org/10.1007/978-3-030-66683-5
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66682-8Published: 06 March 2021
Softcover ISBN: 978-3-030-66685-9Published: 07 March 2022
eBook ISBN: 978-3-030-66683-5Published: 05 March 2021
Edition Number: 1
Number of Pages: XXVIII, 275
Number of Illustrations: 11 b/w illustrations, 55 illustrations in colour
Topics: Energy Policy, Economics and Management, Water, general, Renewable and Green Energy, Environmental Management, Artificial Intelligence, Climate, general