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Water and Energy Management in India: Artificial Neural Networks and Multi-Criteria Decision Making Approaches

Editat de Mrinmoy Majumder, Ganesh D. Kale
en Limba Engleză Paperback – 7 mar 2022
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.
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Specificații

ISBN-13: 9783030666859
ISBN-10: 3030666859
Ilustrații: XXVIII, 275 p. 66 illus., 55 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Water Management.- A review of multiple criteria decision-making methods in reference to water resources and climate science applications.- Development of AHP based Spatial Cognitive model for estimation of Ungauged Runoff for Mesoscale Rivers .- Indicator based Impact Analysis of Urbanization with respect to Evapo-transpiration.- Trend Analyses in Groundwater Levels of Bikaner District, Rajasthan.- Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approach.- Development of ANN Model for Simulation of the Runoff as Affected by Climatic Factors on the Jamuna river, Assam, India.- Modelling of Reference Evapotranspiration for Semi-Arid climates using Artificial Neural Network.- Verifying storm water drainage system capacity for Vadodara airport.- Energy Management.- Optimal Trade-Off Between the Energy – Economy of a Hydropower Plant for Better Management of the Renewable Energy Resources.- Impact Analysis of Water, Energy and Climatic Variables on Performance of Surface Water Treatment Plants.- Power Allocation in an Educational Institute in India: A Fuzzy-GMDH Approach .- Application of new Convergent Point Decision Making Method in Uncertainty Analysis of Hydro Power Plants.- Impact of location factors on Models for Predicting wave Energy Potential: A review.- Conclusion.

Textul de pe ultima copertă

The Water and Energy Management in India 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 was included in this monograph depicts 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 monograph is collected from all parts of India. The selected studies utilized the latest technologies like Multi-Criteria Decision Frame Work, Neural Networks, 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.

Caracteristici

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