Abstract
The recent developments in the power system area, i.e. the on-going liberalization of the energy markets, the pressing demands for power system efficiency and power quality, the increase of dispersed, renewable generation and the growing number of interconnections and power exchanges among utilities, dictate the need for improvements in the power system planning, operation and control. At the same time, the power equipment industry faces new challenges in nowadays ever-increasing competition. Artificial Intelligence techniques together with traditional analytical techniques can significantly contribute in the solution of the related problems. Indeed, during the last 15 years, pattern recognition, expert systems, artificial neural networks, fuzzy systems, evolutionary programming, and other artificial intelligence methods have been proposed in an impressive number of publications in the power system community.
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Hatziargyriou, N. (2001). Machine Learning Applications to Power Systems. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_20
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DOI: https://doi.org/10.1007/3-540-44673-7_20
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