SENFC1-009
EnFORMM: Energy FORecasting and analytics for Market-led Multi-vector networks
Lead Institution: University of Strathclyde
Project Summary
EnFORMM will develop forecasting tools for efficient operation of multi-vector energy networks and markets. New methods based on data science and machine learning will be developed to predict electricity and gas market prices and volumes, and to quantify risk. A key aspect of EnFORMM is the explicit consideration of interdependencies between energy vectors. This technology will enhance new and existing business models, such as distributed resource aggregators and heat/energy-as-a-serve, in support of the transition to a zero-carbon energy system. EnFORMM is promoting excellence in UK energy research by supporting outstanding Early Career Researchers at the University of Strathclyde.
Dr Jethro Browell
Principle Investigator
![Jethrow Browell Jethrow Browell](/media/wwwnclacuk/supergenenergynetwork/images/profiles/JBrowell photo.jpg)
Prof Stuart Galloway
Co-Investigator
![Uni of Strathclyde logo Uni of Strathclyde logo](/media/wwwnclacuk/supergenenergynetwork/images/unilogos/strathclyde.png)
Dr Graeme Hawker
Co-Investigator
![Uni of Strathclyde logo Uni of Strathclyde logo](/media/wwwnclacuk/supergenenergynetwork/images/unilogos/strathclyde.png)
James Bowers
Project Partner
![SSE SSE](/media/wwwnclacuk/supergenenergynetwork/images/companylogos/sse-energy.png)
Barry Cruthers
Project Partner
![Scottish Power Scottish Power](/media/wwwnclacuk/supergenenergynetwork/images/companylogos/scottish_power_logo_0.png)
Felix Ritchie
Project Partner
![Energy Systems Catapult Energy Systems Catapult](/media/wwwnclacuk/supergenenergynetwork/images/companylogos/catapult.png)
Prof Florian Ziel
Project Partner
![Uni of Duisburg-Essen logo Uni of Duisburg-Essen logo](/media/wwwnclacuk/supergenenergynetwork/images/unilogos/Uni of Duisburg Essen.png)