The book "Automatic Learning Techniques in Power Systems" offers a comprehensive examination of the application of automatic learning methods in electrical energy systems. It highlights the challenges and opportunities arising from the integration of data analysis and automatic learning into technical problems. In an era where the amount of available data is growing exponentially, it is crucial to develop effective methods to utilize this data meaningfully. The work addresses both fundamental and advanced techniques from the fields of statistics and artificial intelligence, providing a systematic approach to solving real-world problems in energy engineering. The combination of these methods is discussed to maximize the efficiency and effectiveness of data processing. This specialized book is aimed at professionals and students who wish to engage with the latest developments in automatic learning techniques and their application in energy engineering.