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Autor(en): 
  • Stefan Mozar
  • Mousmi Ajay Chaurasia
  • Chia-Feng Juang
  • Namrata Manohar
  • Machine Learning Applications in Renewable Energy 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2025  
    Genre:  EDV / Informatik 
     
    Alternative und erneuerbare Energiequellen und -technik / ArtificialIntelligence(AI) / Bio-fuels / Biogasproduction / machinelearning / ModernPowerTechnologies / RemoteSensing / RenewableEnergyResource
    ISBN:  9789819799381 
    EAN-Code: 
    9789819799381 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 19 mm 
    Gewicht:  597 gr 
    Seiten:  256 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    This 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.

      



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