The AI Microgrid

AI Microgrid

Get this PDF emailed to you.

All information that you supply is protected by our privacy policy. By submitting your information you agree to our Terms of Use.

Microgrids are continuing to drive the transformation and decentralization of our energy grid, but planning and managing microgrids can be complex. A new white paper from Veritone explores how artificial intelligence makes microgrids more predictable, cost effective, and resilient.

More
Share Button

Microgrids are continuing to drive the transformation and decentralization of our energy grid, but planning and managing microgrids can be complex. Balancing fuel availability, price, emissions, unpredictable energy demand and a variety of other factors require a microgrid to optimize the mix of resources in real-time, or better yet, predictively. Artificial intelligence (AI) can be used in the planning, deployment and operation of a microgrid to help developers, equipment providers and operators alike. The AI microgrid can predict the unpredictable.

A new white paper from Veritone explores how artificial intelligence makes microgrids more predictable, cost-effective and resilient. The author explains how artificial intelligence can provide continuous and real-time modeling of massive amounts of data in a way the human brain cannot. These models can then be used to efficiently orchestrate the inputs and outputs of a microgrid.

Veritone presents three different case studies around how they’ve used AI in the planning and development of microgrid projects. The real-world examples include a cryptocurrency mining data center, the US General Services Administration and an energy storage services provider.

Share Button