Introduction to AI Techniques for Renewable Energy System

Synopsis

Introduction to AI techniques for Renewable Energy SystemArtificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Copyright:

2021

Book Details

Book Quality:

Publisher Quality

Book Size:

410 Pages

ISBN-13:

9781000392487

Related ISBNs:

9781000392456, 9780367610920, 9781003104445

Publisher:

CRC Press

Date of Addition:

04/15/24

Copyrighted By:

selection and editorial matter, Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay Rishiwal and Sanjeevikumar Padmanaban

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Suman Lata Tripathi

Edited by:

Mithilesh Kumar Dubey

Edited by:

Vinay Rishiwal

Edited by:

Sanjeevikumar Padmanaban