Dec '24 • General discussion
Energy security and AI
Really interesting review of the current state of evidence for AI's contribution to energy security (in the UK but including international research and data).
Key findings:
- Artificial intelligence (AI) and machine learning have a range of current and emerging applications within the energy sector, with the potential to optimise and accelerate energy planning, generation, and use.
- AI could use data from devices such as smart meters and substation monitoring to help address current regional renewable connection delays and excessive network congestion. It could also speed-up decarbonisation of the energy system as the UK strives to meet 2030 grid decarbonisation, 2050 Net Zero targets and reduce costs for consumers.
- There are technical and infrastructural barriers to wider adoption of AI in the energy system, including data access, regulation, skills gaps, and availability and reliability of the physical infrastructure that supports AI.
- Stakeholders have raised concerns around privacy, cyber security, energy use, fairness, ethical use, and operational challenges.
- Stakeholders suggest that more support is needed to develop AI in the sector, and that regulation needs to change to ensure optimal benefits can be gained from wider integration of AI in the energy system, while avoiding potential risks.
Full report free to download here:
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Energy security and AI
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