001434604 000__ 04744cam\a2200637\i\4500
001434604 001__ 1434604
001434604 003__ OCoLC
001434604 005__ 20230309003809.0
001434604 006__ m\\\\\o\\d\\\\\\\\
001434604 007__ cr\un\nnnunnun
001434604 008__ 210309s2021\\\\sz\\\\\\o\\\\\000\0\eng\d
001434604 019__ $$a1241451648$$a1244117395$$a1244622843$$a1244634698
001434604 020__ $$a9783030666835$$q(electronic book)
001434604 020__ $$a3030666832$$q(electronic book)
001434604 020__ $$z3030666824
001434604 020__ $$z9783030666828
001434604 0247_ $$a10.1007/978-3-030-66683-5$$2doi
001434604 035__ $$aSP(OCoLC)1240835116
001434604 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dDCT$$dEBLCP$$dGW5XE$$dOCLCO$$dYDX$$dOCLCO$$dSFB$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001434604 043__ $$aa-ii---
001434604 049__ $$aISEA
001434604 050_4 $$aHD9502.I42$$bW38 2021
001434604 08204 $$a333.790954$$223
001434604 24500 $$aWATER AND ENERGY MANAGEMENT IN INDIA :$$bartificial neural networks and multi-criteria decision making approaches /$$cMrinmoy Majumder, Ganesh D. Kale, editors.
001434604 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001434604 300__ $$a1 online resource
001434604 336__ $$atext$$btxt$$2rdacontent
001434604 337__ $$acomputer$$bc$$2rdamedia
001434604 338__ $$aonline resource$$bcr$$2rdacarrier
001434604 347__ $$atext file
001434604 347__ $$bPDF
001434604 5050_ $$aIntroduction -- 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.
001434604 506__ $$aAccess limited to authorized users.
001434604 520__ $$aThe 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.
001434604 588__ $$aOnline resource; title from digital title page (viewed on April 08, 2021).
001434604 650_0 $$aWater-supply$$zIndia$$xManagement.
001434604 650_0 $$aEnergy policy.
001434604 650_0 $$aWater.
001434604 650_0 $$aRenewable energy resources.
001434604 650_0 $$aEnvironmental management.
001434604 650_0 $$aArtificial intelligence.
001434604 650_0 $$aClimatology.
001434604 650_6 $$aEau$$xApprovisionnement$$zInde$$xGestion.
001434604 650_6 $$aPolitique énergétique.
001434604 650_6 $$aEau.
001434604 650_6 $$aEnvironnement$$xGestion.
001434604 650_6 $$aIntelligence artificielle.
001434604 655_0 $$aElectronic books.
001434604 7001_ $$aMajumder, Mrinmoy.,$$eeditor.
001434604 77608 $$iPrint version:$$tWATER AND ENERGY MANAGEMENT IN INDIA.$$dCham, Switzerland : Springer, [2021]$$z3030666824$$z9783030666828$$w(OCoLC)1224517206
001434604 852__ $$bebk
001434604 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66683-5$$zOnline Access$$91397441.1
001434604 909CO $$ooai:library.usi.edu:1434604$$pGLOBAL_SET
001434604 980__ $$aBIB
001434604 980__ $$aEBOOK
001434604 982__ $$aEbook
001434604 983__ $$aOnline
001434604 994__ $$a92$$bISE