Transforming commercial energy demand towards Net Zero Carbon through data science
This project explored how artificial intelligence and data science tools can help unlock massive energy savings and help UK business in their goal of achieving net zero. Our tools recommend ways to slash energy consumption by utilising algorithms that automatically and continuously sift through data to find new insights.
Aims
1. Develop automated techniques for supporting analysis, identifying and recommending energy savings strategies, based on the application of statistical and machine learning techniques to fine-grained energy data;
2. Derive knowledge of how, where, and when energy is used, to identify opportunities to reduce and shift demand by comparing differences in energy use over time within and between premises;
3. Support regular and repeated analysis, towards a continual improvement in energy reduction over time.
4. Provide open source, permissively licensed implementations for enabling uptake, even beyond our project partners and their partner networks.
Our publication and publicity strategies will maximise exposure of our project results to various stakeholder groups including academia, practitioners, and key industry stakeholders.