A study in IET Generation, Transmission & Distribution explores the practical applications of machine learning in the power sector, highlighting its growing importance and the need for ongoing development to support efficient asset management.
A study published in IET Generation, Transmission & Distribution investigates the application of artificial intelligence, particularly machine learning, within the electric power and energy industry. This research highlights practical applications and success stories that illustrate machine learning’s growing acceptance as a valuable technology for both current and future needs in the power sector.
The study also examines the obstacles and challenges of implementing large-scale machine learning techniques and offers potential solutions. The authors emphasized the necessity of ongoing exploration and development of machine learning strategies to support efficient asset management in the power sector. They argued this is essential for ensuring sustainable, reliable, and effective energy networks capable of meeting the evolving demands of the world.
For more detailed findings and analysis, the study can be accessed at the following URL: https://onlinelibrary.wiley.com/doi/10.1049/gtd2.13183.
