|
|
|
|
|
Machine Learning Applications in Renewable Energy
Titre de l'éditeur : Machine Learning Applications in Renewable Energy
MOUSMI AJAY CHAURASIA
CHIA-FEN JUANG
|
|
|
EN SAVOIR PLUS
Résumé
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.
Détails
|
Prix :
|
225,93 $
|
|
Catégorie :
|
|
|
Auteur :
|
MOUSMI AJAY CHAURASIA
CHIA-FEN JUANG
|
|
Titre :
|
Machine Learning Applications in Renewable Energy
|
|
Date de parution :
|
février 2025
|
|
|
|
|
|
Éditeur :
|
LIVRES NUMÉRIQUES DIVERS
|
|
|
|
|
|
Sujet :
|
NUL DIVERS
|
|
ISBN :
|
9789819799398 (9819799392)
|
|
Référence Renaud-Bray :
|
4403914
|
|
|
|
No de produit :
|
4403914
|
Droits numériques
|
Format :
|
PDF
|
|
Disponibilité :
|
Canada,
consultez la liste des pays autorisés.
Machine Learning Applications in Renewable Energy
De
CHAURASIA , MOUSMI AJAY*JUANG , CHIA-FEN
ANDORRE
ÉMIRATS ARABES UNIS
ALBANIE
ARMÉNIE
ANTARCTIQUE
ARGENTINE
SAMOA AMÉRICAINES
AUTRICHE
AUSTRALIE
AZERBAÏDJAN
BOSNIE-HERZÉGOVINE
BARBADE
BELGIQUE
BURKINA FASO
BULGARIE
BAHREÏN
BURUNDI
BÉNIN
BERMUDES
BRUNÉI DARUSSALAM
BOLIVIE
BRÉSIL
BAHAMAS
BOUVET, ÎLE
BELIZE
Canada
CONGO, LA RÉPUBLIQUE DÉMOCRATIQUE DU
CONGO
SUISSE
CÔTE D'IVOIRE
COOK, ÎLES
CHILI
CAMEROUN
CHINE
COLOMBIE
COSTA RICA
CUBA
CAP-VERT
CHRISTMAS, ÎLE
CHYPRE
TCHÈQUE, RÉPUBLIQUE
ALLEMAGNE
DJIBOUTI
DANEMARK
DOMINIQUE
DOMINICAINE, RÉPUBLIQUE
ALGÉRIE
ÉQUATEUR
ESTONIE
ÉGYPTE
ESPAGNE
FINLANDE
FALKLAND, ÎLES (MALVINAS)
FÉROÉ, ÎLES
FRANCE
GABON
GRENADE
GÉORGIE
GUYANE FRANÇAISE
GIBRALTAR
GROENLAND
GUINÉE
GUADELOUPE
GUINÉE ÉQUATORIALE
GRÈCE
GUATEMALA
GUINÉE-BISSAU
GUYANA
HONG-KONG
HEARD, ÎLE ET MCDONALD, ÎLES
HONDURAS
CROATIE
HAÏTI
HONGRIE
INDONÉSIE
IRLANDE
ISRAËL
|
|
Gestion des droits numériques :
|
Adobe DRM
|
|
Entrepôt numérique :
|
NUMILOG
|
|
Nombre d'appareils autorisés :
|
3
|
|
Nombre de copier/coller :
|
0
|
|
Impression :
|
0
|
|
|
|
Machine Learning Applications in Renewable Energy
,
CHAURASIA , MOUSMI AJAY*JUANG , CHIA-FEN
©
LIVRES NUMÉRIQUES DIVERS
2025
|
|
|