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Generative AI for Smart Grids: How GenAI and Synthetic Data Enhances Energy Demand Forecasting
12 Jun 2025
Sustainable Innovation Stage
Sustainable Innovation
- The digitalisation, decarbonisation, and decentralisation of energy presents new opportunities to optimise demand forecasting. Yet access to household-level data is constrained by privacy, proprietary, and cybersecurity concerns.
- AI-generated, synthetic data offers a breakthrough solution. Faraday, a GenAI model trained on 1.8 billion meter readings from the UK’s largest energy supplier, empowers grid operators, policymakers and innovators to forecast future demand - without compromising privacy.
- Through OpenSynth, an open data community supported by Linux Foundation Energy, data, algorithms, and evaluation frameworks can be shared - supporting the rapid scaling and adoption of AI for energy - accelerating decarbonisation to benefit people and planet.
Pass Type
VIP All Access Pass,Delegate Pass,Start-up & Investor Pass,Academic Pass,Press Pass
Content Focus
Use Case
Session Type
Keynote / Solo
Session Focus
Use Case
Session Keyword
Generative AI
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