Volts Embedding intelligence at the edge of the grid
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May 16, 2025 Marissa Hummon, Chief Technology Officer at Utilidata, is revolutionizing the energy sector by integrating AI into electricity meters through a partnership with NVIDIA. The discussion highlights how real-time data collection enhances grid management, detecting failing transformers and optimizing energy distribution. Privacy concerns of these AI technologies are addressed, emphasizing data security protocols. Hummon also discusses the rising importance of utilities in the tech landscape, driven by modern energy demands.
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AI at the Grid Edge
- Embedding an AI-powered computer in a grid edge device enhances real-time analysis and decision-making.
- This platform supports long-term reliability and security without frequent physical intervention.
High-Resolution Local Data Processing
- The module takes high-resolution voltage and current waveform data at 32,000 samples/second.
- Processing this data locally enables detection of subtle grid issues that would be lost due to cloud latency or cost.
Legacy Grids Meet Modern Loads
- Many distribution grids were designed decades ago and struggle with modern loads like EVs and air conditioners.
- Granular edge data helps utilities identify overloads and prioritize upgrades where urgently needed.