MGK_VeritoneAIWPCover_2022-08-31_16-07-16
MGK_VeritoneAIWPCover_2022-08-31_16-07-16
MGK_VeritoneAIWPCover_2022-08-31_16-07-16
MGK_VeritoneAIWPCover_2022-08-31_16-07-16
MGK_VeritoneAIWPCover_2022-08-31_16-07-16

Can AI Help Build and Optimize a Truly Smart Grid?

Sept. 7, 2022
In this white paper, you’ll learn how AI can solve the unique challenges of a modern, complex, renewable electric smart grid in real-time and at scale.

To mitigate climate change, our electric grid is being decarbonized through greater investments in renewable technologies such as wind, solar and electric vehicles. But there is one other challenge that must be addressed — demand from federal, state and local governments means these green resources must be added at scale, something the grid’s current infrastructure is ill-equipped to accommodate. The management of different renewable energy sources and turning data into actionable intelligence is also too complex for humans alone to handle. Enter artificial intelligence (AI), which can help optimize and transform the grid into a true smart grid.

In this white paper, you’ll learn how AI can solve the unique challenges of a modern, complex, renewable electric smart grid in real time and at scale. First, the paper outlines why reliable, affordable energy delivery is becoming exponentially harder. It then looks at the benefits and limitations of using distributed energy resource management system (DERMS) technology.

Finally, the paper explains why a truly “smart” grid is powered by artificial intelligence and how using AI-powered DERMS can “smooth” utility-scale solar production.