Introduction to AI Techniques for Renewable Energy System Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System

    • $64.99
    • $64.99

Publisher Description

Introduction to AI techniques for Renewable Energy System

Artificial 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.

GENRE
Professional & Technical
RELEASED
2021
November 25
LANGUAGE
EN
English
LENGTH
422
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
19.3
MB
Advances in Reliability Analysis and its Applications Advances in Reliability Analysis and its Applications
2019
Reliability and Statistical Computing Reliability and Statistical Computing
2020
AI and IoT for Smart City Applications AI and IoT for Smart City Applications
2022
Linear and Nonlinear System Modeling Linear and Nonlinear System Modeling
2024
Emerging Trends in IoT and Computing Technologies Emerging Trends in IoT and Computing Technologies
2024
Intelligent Circuits and Systems for SDG 3 – Good Health and well-being Intelligent Circuits and Systems for SDG 3 – Good Health and well-being
2024
Computational Intelligence for Genomics Data Computational Intelligence for Genomics Data
2025
Integrated Devices for Artificial Intelligence and VLSI Integrated Devices for Artificial Intelligence and VLSI
2024
Decentralized Systems and Distributed Computing Decentralized Systems and Distributed Computing
2024