Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

, ,



0%

 COMMENCER GRATUITEMENT

158,24 l'ebook
acheter l'ebook


Détails du livre

Titre : Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
Pages : 198
Collection : Lecture Notes in Electrical Engineering
Parution : 2023-01-20
Éditeur : Springer
EAN papier : 9789811964893
À propos du livre

This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.

Format EPUB - Nb pages copiables : 1 - Nb pages imprimables : 19 - Poids : 23910 Ko - - Prix : 158,24 € - EAN : 9789811964909

Pick and Read

Une solution de paiement à la page lue.

Une lecture en streaming, pour « lire en maîtrisant son budget ».




Paiement sécurisé


  • Newsletter

  • OK