PREDICTION ALGORITHMS FOR POWER LOSSES IN ELECTRICAL DISTRIBUTION NETWORKS
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Аннотация:
Reducing power losses in modern electrical distribution networks is one of the key factors in ensuring the reliability and economic efficiency of energy systems. Power losses are generally divided into technical (such as thermal and reactive power losses) and non-technical (including unmetered consumption, theft, and measurement errors) categories. Accurate estimation and forecasting of these losses are essential for efficient grid management. In this regard, artificial intelligence (AI) and machine learning (ML) techniques have emerged as powerful tools for predictive analysis in smart grid applications.
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Библиографические ссылки:
A. Rakhmatov, D. Yusupov. Strategies for Reducing Power Losses in Energy Networks. – TATU Press, 2022.
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