A recent study published in IET Generation, Transmission & Distribution explores how artificial intelligence, and in particular machine learning techniques, can be used as a powerful tool for the power and energy industry and the management of its assets.
By presenting practical applications and success stories, this study demonstrates the increasing acceptance of machine learning as a valuable technology to address current and future business needs in the power sector. It also evaluates the barriers and difficulties in implementing large-scale machine learning techniques in practical environments and explores potential solutions.
“To support the power sector's goal of efficient asset management, machine learning-based strategies must continue to be explored and developed. Doing so will help ensure sustainable, reliable and effective energy networks for the future while fostering resilient power systems that meet the changing demands of a changing world,” the authors write.
URL at time of publication: https://onlinelibrary.wiley.com/doi/10.1049/gtd2.13183
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