Shulph Ink
Artificial Intelligence Techniques in Power Systems Operations and Analysis
Artificial Intelligence Techniques in Power Systems Operations and Analysis
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- More about Artificial Intelligence Techniques in Power Systems Operations and Analysis
Artificial Intelligence Techniques in Power Systems Operations and Analysis is a book that explores the challenges of power systems and how AI techniques can help overcome them. It covers important areas of power system analysis and the implementation of AI-driven analysis techniques, with multiple AI techniques and their application explained. It also features relevant data sets and case studies.
Format: Hardback
Length: 224 pages
Publication date: 16 August 2023
Publisher: Taylor & Francis Ltd
An electrical power system is a complex and extensive network that includes generation, transmission, and distribution subsystems. Its installation and management are challenging due to its size and complexity. The system is a vast network with large data sets that require time to analyze and implement. Electricity demand is constantly increasing, making it difficult to maintain load demand without overloading the system. Planning, installing, operating, and controlling such a large system requires new technology, such as artificial intelligence (AI). AI applications have many key features that can support a power system and handle overall power system operations. They can manage large data sets related to a power system, design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. This book focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained, as well as relevant data sets and case studies. Highlights include power quality enhancement by PV-UPQC for non-linear loads, power system stability analysis using machine learning, and power system fault diagnosis using deep learning.
Dimension: 234 x 156 (mm)
ISBN-13: 9781032294865
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