Entries for Digitizing Utilities: Round 2

Our patented tech combined with unique comms allows us to persistently reside on the edge of a utility's systems, providing cyber protection

This project focuses on characterizing smart meter data using advanced deep learning methods to effectively detect electricity theft.

AirGapGS, an innovative air-gapped AI tool, enables grid operators to detect EVs in their fleet and run low cost, grid-scale EV programs.

A data-driven planning platform that identifies optimal power system upgrades for utilities preparing for electric commercial trucks.

A low-cost modular energy planning platform that allows decision makers and engineers to collaborate and iterate infrastructure ideas.

JEA Sustainable Solutions Lab at UNF use ML for predictive maintenance, enhancing fault detection & supporting reliable utility operations.

Enhancing Outage Management for Critical Accounts with Grid Queens

We will develop a data-driven cable replacement method to address the utility’s concern on accelerated cable failure due to fast-growing EVs

Our team partnered with Dominion Energy to revolutionize grid analysis through a modern hosting capacity assessment and mapping tool.

Leveraging Game Theory and Deep Reinforcement Learning to improve forecasting in electricity markets with structural multiagent simulations

Ensuring availability of valuable substation data while protecting the operational resilience of substation facilities.

Cypienta's models connect the dots, contextualizing & correlating seemingly disparate events to reveal root causes, & coordinated attacks.

Develop an AI Agent to address inefficiencies in today’s electric distribution control rooms allowing operators to focus on critical tasks.