Application of Machine Learning in Power Systems

Dear Colleagues,

The interconnection between all energy-related things within a grid, and even between the grids themselves in the energy Internet, is both technologically complex and risky. It poses significant challenges for decision makers and regulators. A power grid is needed with smart environment technologies that automates the process of monitoring the health of the grid or the usage of facilities for long-term maintenance and facility management. Tools are needed to collate such information automatically from grid in-use to aid with the maintenance or assist the facility manager in making smarter and timelier decisions. In addition, different systems can be interconnected similar to the interconnection between different web servers over the Internet. This Special Issue aims to solicit innovative research and state-of-the-art machine learning algorithms for managing the risks posed by fast-paced technology changes, the volatility of global electricity prices, system over-frequency, and cyber-physical threats, as well as for improving power system planning, operation, and control.

Prof. Dr. Tek-Tjing Lie
Dr. Ramon Zamora
Dr. Miftah Al-Karim
Guest Editors

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