Name: Computational Intelligence in Photovoltaic Systems (en Inglés)
SKU: 57960130
Price: 64.68 USD
Availability: InStock
Author: Ogliari, Emanuele ; Leva, Sonia

portada Computational Intelligence in Photovoltaic Systems (en Inglés)

Computational Intelligence in Photovoltaic Systems (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Ogliari, Emanuele ; Leva, Sonia

Idioma

Inglés

N° páginas

180

Encuadernación

Tapa Blanda

Dimensiones

24.4x17x1.2 cm

Peso

0.39 kg.

ISBN13

9783039210985

Categorías

Tecnología: cuestiones generales

Computational Intelligence in Photovoltaic Systems (en Inglés)

Ogliari, Emanuele ; Leva, Sonia (Autor) · Mdpi AG · Tapa Blanda

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Reseña del libro "Computational Intelligence in Photovoltaic Systems (en Inglés)"

Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems.Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems.This Special Issue "Computational Intelligence in Photovoltaic Systems" is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.