Name: Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and pv Systems Optimization (en Inglés)
SKU: 64560475
Price: 201320.00 CLP
Availability: InStock
Author: Amit Kumar Yadav; Hasmat Malik; Majed A. Alotaibi
ISBN: 9780443134821

portada Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and pv Systems Optimization (en Inglés)

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and pv Systems Optimization (en Inglés)

Formato

Libro Físico

Editorial

Elsevier Science

Autor

Amit Kumar Yadav; Hasmat Malik; Majed A. Alotaibi

Idioma

Inglés

N° páginas

302

Encuadernación

Tapa Blanda

ISBN13

9780443134821

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and pv Systems Optimization (en Inglés)

Amit Kumar Yadav; Hasmat Malik; Majed A. Alotaibi (Autor) · Elsevier Science · Tapa Blanda

Libro Nuevo Importado

Envío: 18 a 23 días háb.

$ 366.040$ 201.320

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 201.320

Llega entre el 09 Oct y el 19 Oct a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and pv Systems Optimization (en Inglés)"

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.