图书简介
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
Chapter 1: Artificial Intelligence: A New Era in Renewable Energy Systems Kandra Prameela1, Challa Lahari, Grandhi Sai Kishore, Kandula Venkata Nikhil, Pavuluri Hemanth Chapter 2: Role of AI in Renewable Energy Management Anupama Sharma, Sanjeev Kumar Prasad, Rashmi Chaudhary Chapter 3: AI-based Renewable Energy with Emerging Applications: Issues and Challenges Omkar Singh, Mano Yadav, Preeti Yadav, Vinay Rishiwal Chapter 4: Foundations of Machine Learning Neeta Nathani, Abhishek Singh Chapter 5: Introduction of AI techniques and Approaches Namrata Dhanda, Rajat Verma Chapter 6: A Comprehensive Overview of Hybrid Renewable Energy Systems Amit Kumer Podder, Muhammed Zubair Rahman, Sujon Mia and S M Fuad Hossain Fahim Chapter 7: Dynamic Modelling and Performance Analysis of Switched-Mode Controller for Hybrid Energy SystemsS S. Linnet Jaya, V. Kirubakaran Chapter 8: Artificial Intelligence and Machine Learning Methods for Renewable Energy Sushila Palwe, Prerna Lahane Chapter 9: Artificial Neural Network Based Power Optimizer for Solar Photovoltaic System: An Integrated Approach with Genetic Algorithm S.R.Revathy, V.Kirubakaran Chapter 10: Predictive Maintenance: AI Behind Equipment Failure Prediction S.Sharanya, Revathi Venkataraman, G. Murali Chapter 11: AI Techniques for the Challenges in Smart Energy Systems S. Dwivedi Chapter 12: Energy Efficiency Har Lal Singh, Sarita Khaturia1 and Mamta Chahar Chapter 13: Renewable Energy from Plant Biomass and Photosynthetic Organisms and its Operations Rajesh K. Srivastava Chapter 14: Evolving Trends for Smart Grid Using Artificial Intelligent Techniques Pooja Yadav, Prakhar Chaudhary, Hemant Yadav Chapter 15: Introduction to AI techniques for Photovoltaic Energy Conversion System Siddharth Joshi, Nirav Karelia Chapter 16: Deep Learning Based Fault Identification of Micro Grid Transformers S. Poornima Chapter 17: Power Quality Improvement for Grid Integrated Renewable Energy Sources: A Comparative analysis of UPQC Topologies Nirav Karelia, Amit Sant, Vivek Pandya Chapter 18: AI based Energy Efficient Fault Mitigation Technique for Reliability Enhancement of Wireless Sensor Network Syed Mufassir Yaseen, Mithilesh Kumar Dubey, Majid Charoo Chapter 19: AI Techniques Applied to Wind Energy Swagat Kumar Samantaray, Shasanka Sekhar Rout Chapter 20: Comparative Performance Analysis of Multi-Objective Metaheuristic Approaches for Parameter Identification of Three-Diode Modelled Photovoltaic Cells Saumyadip Hazra, Souvik Ganguli Chapter 21: Artificial Intelligence Techniques in Smart Grid Irtiqa Amin, Dr. Mithilesh Dubey Chapter 22: Parameter Identification of a New Reverse Two Diode Model by Moth Flame Optimizer Saumyadip Hazra, Souvik Ganguli, Suman Lata Tripathi Chapter 23 Time-Series Energy Prediction and Improved Decision Making Iram Naim, Tripti Mahara
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