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ML Optimization in Power Systems by Samuel Bhukya is a document available to read on EtoBox.

What is ML Optimization in Power Systems about?

The document discusses the integration of machine learning (ML) in optimizing power systems, highlighting the limitations of traditional methods and the potential of ML to enhance decision-making and system operations. It outlines various ML applications in load modeling and frequency regulation services, emphasizing innovative methodologies that can improve economic benefits for users and communities. The research aims to expand ML utilization in power systems by incorporating physical characteristics and

Author

Samuel Bhukya

Language

EN