Future System Learning and Planning
Any future smart energy system will generate and consume numerous different types of data from a variety of sources when operational. Project LEO will couple the location of local energy assets (e.g. solar farms and batteries), with the time varying response of both energy generation and demand. Through consideration of both spatial and temporal data, a whole-system approach can be taken to evaluate past performance, optimise operation, prioritise retrofit potential and inform future local clean growth strategies. Project LEO will also contribute to defining new energy related data standards and data curation methods to ensure future value can be extracted by stakeholders beyond the project.
This future system learning and planning work will be led by researchers at the University of Oxford, in collaboration with researchers at Oxford Brookes University and the Innovation team at Oxfordshire County Council.