國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Water and Energy Management in India/ edited by Mrinmoy Majumder, Ganesh D. Kale.
Reminder of title:	Artificial Neural Networks and Multi-Criteria Decision Making Approaches /
other author:	Majumder, Mrinmoy.
Description:	XXVIII, 275 p. 66 illus., 55 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Energy policy. -
Online resource:	https://doi.org/10.1007/978-3-030-66683-5
ISBN:	9783030666835

Water and Energy Management in India = Artificial Neural Networks and Multi-Criteria Decision Making Approaches /
Water and Energy Management in IndiaArtificial Neural Networks and Multi-Criteria Decision Making Approaches /[electronic resource] :edited by Mrinmoy Majumder, Ganesh D. Kale. - 1st ed. 2021. - XXVIII, 275 p. 66 illus., 55 illus. in color.online resource.

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.

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.

ISBN: 9783030666835

Standard No.: 10.1007/978-3-030-66683-5doiSubjects--Topical Terms:

554736
Energy policy.

LC Class. No.: HD9502-9502.5

Dewey Class. No.: 333.79

Water and Energy Management in India = Artificial Neural Networks and Multi-Criteria Decision Making Approaches /
LDR:03906nam a22004215i 4500 001 1047140
003 DE-He213
005 20210624111119.0
007 cr nn 008mamaa
008 220103s2021 gw | s |||| 0|eng d
020 $a 9783030666835 $9 978-3-030-66683-5
024 7 $a 10.1007/978-3-030-66683-5 $2 doi
035 $a 978-3-030-66683-5
050 4 $a HD9502-9502.5
072 7 $a TH $2 bicssc
072 7 $a BUS070040 $2 bisacsh
072 7 $a TH $2 thema
072 7 $a KNB $2 thema
082 0 4 $a 333.79 $2 23
082 0 4 $a 338.926 $2 23
245 1 0 $a Water and Energy Management in India $h [electronic resource] : $b Artificial Neural Networks and Multi-Criteria Decision Making Approaches / $c edited by Mrinmoy Majumder, Ganesh D. Kale.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXVIII, 275 p. 66 illus., 55 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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.
650 0 $a Energy policy. $3 554736
650 0 $a Energy and state. $3 1197930
650 0 $a Water. $3 569476
650 0 $a Renewable energy resources. $3 563364
650 0 $a Environmental management. $3 557131
650 0 $a Artificial intelligence. $3 559380
650 0 $a Climate. $3 1256884
650 1 4 $a Energy Policy, Economics and Management. $3 784769
650 2 4 $a Water, general. $3 1022075
650 2 4 $a Renewable and Green Energy. $3 683875
650 2 4 $a Environmental Management. $3 593900
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Climate, general. $3 1023469
700 1 $a Majumder, Mrinmoy. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1076479
700 1 $a Kale, Ganesh D. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1350804
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030666828
776 0 8 $i Printed edition: $z 9783030666842
776 0 8 $i Printed edition: $z 9783030666859
856 4 0 $u https://doi.org/10.1007/978-3-030-66683-5
912 $a ZDB-2-ENE
912 $a ZDB-2-SXEN
950 $a Energy (SpringerNature-40367)
950 $a Energy (R0) (SpringerNature-43717)