📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

University of Nottingham and Siemens plc

Lead Participant: UNIVERSITY OF NOTTINGHAM

Abstract

To design, develop and implement an Energy Visualisation and Analytics platform which will holistically collect energy data to inform a central control algorithm powered by advanced machine learning to optimise the energy flows between buildings, in turn promoting the smart cities concept.

Lead Participant

Project Cost

Grant Offer

UNIVERSITY OF NOTTINGHAM £169,942 £ 84,971
 

Participant

SIEMENS PUBLIC LIMITED COMPANY

People

ORCID iD

Publications

10 25 50