From Hype to Value: How AI is transforming the utilities industry
summary
E.ON runs 1.6 million kilometers of grid serving 47 million households and already operates 100+ production use cases. Examples include minute-level cloud forecasting to predict PV shadowing, minute-resolution congestion prediction for distribution networks, call-center staffing optimization, battery charge/discharge scheduling, visual substation asset detection that automatically reconciles inventories, and cross-source incident pattern analysis. The approach centers on taming a fast-changing tech zoo with reversible standards, designing data pipelines for tomorrow’s signals, enforcing built-in compliance on a common platform, and measuring value at the project level.
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chapters (7)
- 0:00Introduction
- 2:45Changing energy grid and AI
- 5:54AI hype dangers
- 9:24Focusing AI on business
- 13:18AI use cases in utilities
- 15:25AI adoption recommendations
- 20:01Closing & Q&A
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