Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Introduction To Ai Techniques For Renewable Energy SystemISBN13:9780367610920ISBN10:0367610922Author:Tripathi, Suman Lata (Editor), Dubey, Mithilesh Kumar (Editor), Rishiwal, Vinay (Editor)Description: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 Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-10-01Weight:0 lbsDimensions:Number of Pages:448Language:English
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Book Title: Introduction to AI Techniques for Renewable Energy System
Author: Suman Lata Tripathi
Format: Hardcover
Language: English
Topic: Mechanical
Publisher: CRC Press LLC
Publication Year: 2021
Genre: Technology & Engineering
Number of Pages: 448 Pages