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In 2019 the UK declared a climate emergency and became the first major economy to pass legislation to bring all greenhouse gas emissions to net-zero by 2050.
UCL is undertaking research in these areas using world-leading energy data sets.
Find out how UCL researchers are using AI to solve energy and sustainability issues below.
Energy demand and supply
Centre for Research in Energy Demand Solutions
The Centre for Research in Energy Demand Solutions (CREDS) is a major initiative of the Energy Programme of UK Research and Innovation (UKRI). CREDS is a distributed centre, involving 13 universities, including UCL. Starting in April 2018, CREDS will run to March 2023, with a budget of £19.5 million.
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Smart Energy
The Smart Energy Research Lab (SERL) will provide a secure portal for researchers to access high-resolution energy data, which will facilitate innovative energy research for years to come.
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Utility-Multi Agent Reinforcement Learning
Utility-Multi Agent Reinforcement Learning (U-MARL) simulates real-world behaviour of energy utility companies in a competitive environment, where the impact of new assets, such as Hinkley Point, and new policies can be tested to understand how they influence bidding behaviour and profits of energy utilities.
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Renewable energy
Artificially Intelligent System Operator
The Artificially Intelligent System Operator (AISO) was designed to manage the UK National Grid in real-time to maximise the integration of renewable generation in the system while reducing the costs of the balancing mechanism, which is the system for meeting shortfalls in demand the costs of which are projected to increase from £1billion to £3billion over the next 10 years as more renewable generation is added to the grid.