AI for Energy report outlines opportunities for applying AI in the energy sector
A new paper published today by techUK and the Centre for AI and Climate shines a light on the potential opportunities from machine learning and artificial intelligence in supporting the decarbonisation of the grid.
The ‘AI for Energy’ report is the first in a series of whitepapers techUK will be working with partners on over the year outlining how emerging technologies can support the net zero transition of the energy sector. Machine learning and AI are being seen crucially as a vital technology to manage the increasing complexity of the energy system as it decentralises and decarbonises.
Today’s paper outlines the most promising emerging AI and machine learning use cases across the energy system, which include:
- Optimising grid management.
- Short- and long-term renewable energy forecasting to support investment, planning and operational decision-making.
- Supporting demand-side incentives and flexibility.
- Optimising existing technologies.
- Supporting the integration of electric vehicles.
- Improving building and home energy management.
- Increasing the energy efficiency of commercial and industrial facilities.
- Strengthening microgrid management through more accurate forecasts of demand and energy production.
Susanne Baker, techUK’s Associate Director for Climate, Environment and Sustainability said: “The decentralisation and decarbonisation of the grid means that the complexity of managing the energy system increases exponentially. AI and machine learning is ideal in helping to manage that complexity. But to do that we need to be really clear where the opportunities are so we can focus our innovation efforts.”
Peter Clutton-Brock, Centre for AI and Climate, said: “AI and machine learning will not be nice-to-haves in managing and optimising a more complex, renewables-dominant grid but fundamental pre-requisites of zero emission electricity systems. This paper highlights some of the ways that AI can make significant contributions towards the transition to zero emission energy, however, ultimately AI will flow into all decision-making processes associated with electricity systems.”
You can read the full paper here.
If you have any questions, please do not hesitate in contacting one of our team.
Susanne is responsible for techUK's Environment & Compliance Programme.
The programme, which spans issues such as eco-design, chemicals policy and producer responsibility legislation to conflict materials, circular economy and climate change policy, helps techUK members to get to grips with the latest compliance issues, policy developments and environmental trends, and in turn works with government to ensure that regulation in this area is targeted and effective.
Before joining techUK, Susanne worked in the policy and representation team at EEF, the manufacturers' organisation. For several years she was a senior writer for The ENDS Report, an environmental policy and business journal, and worked in several Whitehall press offices. She holds a BSc in Environmental Science from Kings College London and is a fellow of the RSA.
Margherita is Communications Manager at techuk, working across all communications and marketing activities and acting as point of contact for media enquiries.