LEADER 04046nam 22007455 450 001 9910984589603321 005 20251103103224.0 010 $a9789819799398 010 $a9819799392 024 7 $a10.1007/978-981-97-9939-8 035 $a(MiAaPQ)EBC31925017 035 $a(Au-PeEL)EBL31925017 035 $a(CKB)37725616600041 035 $a(DE-He213)978-981-97-9939-8 035 $a(OCoLC)1503685257 035 $a(EXLCZ)9937725616600041 100 $a20250227d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Applications in Renewable Energy /$fby Namrata Manohar, Mousmi Ajay Chaurasia, Stefan Mozar, Chia-Feng Juang 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (263 pages) 225 1 $aGreen Energy and Technology,$x1865-3537 311 08$a9789819799381 311 08$a9819799384 327 $a1. Renewable Energy Technologies (RET) ? Society and Government Perspective -- 2. Waste-to-Energy (wte) -- 3. Computation of Energy from Waste -- 4. Grid Integration of Renewable Energy System(gires) -- 5. Artificial Intelligence and IOT in Renewable Energy. 330 $aThis book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economic situation of a country by way of providing employment opportunities for many people may be as employees in various roles or initiating their own enterprise. The book includes statistics on energy consumption changes over the past few decades from conventional to renewable energies. The future scenario of energy in view of technological advancements and the employment status past, present and future is indicated. The need and importance of standards for the efficient operation of renewable energy systems are explained. The various modern technologies that are enabling the successful implementation of RET are presented. The role of the public and government and the various financial schemes governments provide is highlighted. A few modern applications and those under development would enhance the standard of living. The statistics and situation of the various aspects in the wake of the COVID-19 pandemic before, during and future effects are discussed, for the overall benefit of one and all. The various methods of a cost analysis of a project are indicated. Solar system components and the cost estimation of the solar power system in the present-day market status are provided. The various grid integration issues have been discussed. 410 0$aGreen Energy and Technology,$x1865-3537 606 $aMachine learning 606 $aRenewable energy sources 606 $aEnergy policy 606 $aEnergy policy 606 $aMachine Learning 606 $aRenewable Energy 606 $aEnergy Policy, Economics and Management 606 $aAprenentatge automŕtic$2thub 606 $aEnergies renovables$2thub 606 $aPolítica energčtica$2thub 608 $aLlibres electrňnics$2thub 615 0$aMachine learning. 615 0$aRenewable energy sources. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 14$aMachine Learning. 615 24$aRenewable Energy. 615 24$aEnergy Policy, Economics and Management. 615 7$aAprenentatge automŕtic 615 7$aEnergies renovables 615 7$aPolítica energčtica 676 $a006.31 700 $aManohar$b Namrata$01790171 701 $aChaurasia$b Mousmi Ajay$01749569 701 $aMozar$b Stefan$01790172 701 $aJuang$b Chia-Feng$01790173 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910984589603321 996 $aMachine Learning Applications in Renewable Energy$94326263 997 $aUNINA