report
AI Enters the Power Grid Control Room — A Review of Use Cases, Value, and Approach

Grids are more complex than ever before. A troublesome combination of shifting weather and climate patterns, variable energy supply, more distributed energy resources (DERs), changing energy loads, and fast-evolving regulatory and cybersecurity landscapes have created an immensely challenging environment that has overwhelmed traditional grid management practices.
Artificial intelligence and machine learning (AI/ML) are the way of the future for grids. By applying AI/ML to outdated grid management practices, utilities can maximize resilience, efficiency, and sustainability through automation, real-time insights, and optimization, supporting DER integration and decentralized operations.
More details about the impact of AI/ML in modern grid operations can be found in the new IDC spotlight paper, "AI Enters the Power Grid Control Room — A Review of Use Cases, Value, and Approach." GE Vernova Grid Software is pleased to sponsor this paper for complimentary download – simply fill out your information at right to receive your copy.
Artificial intelligence and machine learning (AI/ML) are the way of the future for grids. By applying AI/ML to outdated grid management practices, utilities can maximize resilience, efficiency, and sustainability through automation, real-time insights, and optimization, supporting DER integration and decentralized operations.
More details about the impact of AI/ML in modern grid operations can be found in the new IDC spotlight paper, "AI Enters the Power Grid Control Room — A Review of Use Cases, Value, and Approach." GE Vernova Grid Software is pleased to sponsor this paper for complimentary download – simply fill out your information at right to receive your copy.
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