Real-World Applications of Artificial Intelligence and Machine Learning in Power Systems: A Code Approach
Author:V. Kirubakaran T. Mariprasath (Author)
ASIN: B0DP2ZBMXQ
Publisher finelybook 出版社: Nova Science Publishers, Inc.
Publication Date 出版日期: 2025-01-29
Language 语言: English
Print Length 页数: 233 pages
ISBN-13: 9798895302286
Book Description
Dive into the cutting-edge world of artificial intelligence and machine learning with this comprehensive guide, designed for both novices and experts alike. This book meticulously explores the core principles, development, and practical applications of AI and ML technologies.Beginning with an introduction to AI, the book navigates through the evolution and principles of artificial intelligence, delving deep into various neural network architectures, including feedforward, convolutional, recurrent, and generative adversarial networks. Each chapter is enriched with practical examples such as rainfall prediction, image analysis, sales forecasting, and financial data analysis, making complex concepts accessible and relatable. This book also offers an extensive overview of essential machine learning libraries and tools, including NumPy, Pandas, TensorFlow, and PyTorch. Readers will gain insights into both supervised and unsupervised learning algorithms, from logistic regression and decision trees to k-means clustering and Gaussian mixture models.In the latter part, the focus shifts to real-world applications of machine learning in power systems, renewable energy, electric vehicles, fuel cells, and hydrogen production. Topics such as fault detection in power grids, energy theft detection, solar and wind energy forecasting, and predictive maintenance for electric vehicles and fuel cells are comprehensively covered.
