AI in Data Centers: Balancing Learning and Oversight

This chapter explores the capabilities and limitations of AI learning in data centers, investigating how data quality impacts performance improvement. It also addresses the complexities of load forecasting models and the importance of governance and regulation amidst the evolving role of AI in energy management. The discussion highlights utilities' shifting perceptions towards grid edge computing and their engagement with distributed energy resources.