Introduction to AI Techniques for Renewable Energy System free ebook download.

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Introduction to AI Techniques for Renewable Energy System free ebook download

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Catalogue

Author(s):	Suman Lata Tripathi

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	0367610922
Pages:	410	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	10/13/2021 1:29:24 PM

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This book helps the undergraduate, graduate students and Academician to learn the concept of Artificial Intelligence techniques used in renewal energy with suitable real-life examples. 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 (e.g. inferior quality of data, in-sufficient long series, etc.). For overcoming these problems, AI techniques appear to be one of the most substantial parts of the book. The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. Book outlines selected AI applications for renewable energy. In particular, discusses methods using the AI approach for the following applications using suitable examples: prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.
Key selling Features:
The impact of the proposed book is to provide a significant area of concern to develop a foundation for the implementation process renewable energy system with intelligent techniques.
The researchers working on a renewable energy system can correlate their work with intelligent and machine learning approaches.
To make aware of the international standards for intelligent renewable energy systems design, reliability and maintenance.
To give better incites of the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3041994	Book	https://nitro.download/view/24AB0CC42647...		0.00	alex21s

Tags: Energy Introduction Renewable System Techniques

Title	Link	Password	Size	Reason

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