Artificial Intelligence Techniques in Power Systems Operations and Analysis (eBook, ePUB)

Redaktion: Singh, Nagendra; Gupta, Sanjeev Kumar; Mewada, Arvind; Tamrakar, Sitendra

• Format: ePub

Produktbeschreibung

This book focuses on the various challenges arising in power systems and how AI techniques help to overcome such challenges. This book examines various important areas of power system analysis and the implementation of AI-driven analysis techniques. Multiple AI techniques are explained as well as their application.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 234
• Erscheinungstermin: 16. August 2023
• Englisch
• ISBN-13: 9781000921793
• Artikelnr.: 68324198

Autorenporträt

Dr. Nagendra Singh is an associate professor in the department of Electrical Engineering at Trinity College of Engineering and Technology, Karimanagar, India. Dr. Sitendra Tamrakar is an associate professor in the department of computer science and engineering at Nalla Malla Reddy Engineering College, Hyderabad, India. Arvind Mewara has worked as associate professor in the department of Computer Engineering at Technocrats Institute of Technology, Bhopal, India. Presently he is a full time Ph.D. scholar at Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Sanjeev Kumar Gupta is a professor and dean at the Rabindranath Tagore University, Bhopal.

Inhaltsangabe

List of Contributors. 1 Faults Diagnosis Using AI and ML. 2 Load Frequency
Control for Multi-Area Power System Using PSO-Based Technique. 3 Power
Quality Enhancement by PV-UPQC for Non-Linear Load. 4 A Hybrid Energy
Management for Stand-Alone Microgrids Using Grey Wolf Optimization System.
5 Energy Management of Nanogrid through Flair of Deep Learning from IoT
Environments. 6 An Elitism-Based SAMP-JAYA Algorithm for Optimal VA Loading
of Unified Power Quality Conditioner. 7 Applications of Artificial
Intelligence. 8 Role of Artificial Intelligence and Machine Learning in
Power Systems with Fault Detection and Diagnosis. 9 AC Power Optimization
Technique. 10 Data Transformation: A Preprocessing Stage in Machine
Learning Regression Problems. 11 Predicting Native Language with Machine
Learning: An Automated Approach. 12 Artificial Intelligence and Machine
Learning Techniques in Power Systems Automation. Index.