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Highly Personalised Energy Advice

Reference Number
InnUK/102228/01
Title
Highly Personalised Energy Advice
Status
Completed
Energy Categories
Energy Efficiency(Residential and commercial)
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts)
Research Types
Applied Research and Development
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour)
Principal Investigator
Project Contact
Onzo Limited
Award Type
Collaborative Research & Development
Funding Source
Innovate UK
Start Date
01 May 2015
End Date
30 April 2017
Duration
24 months
Total Grant Value
£747,314
Industrial Sectors
Region
London
Programme
Competition Call: 1405_CRD_ENE_GEN_ENCATESR1 - Not Available. Activity Energy Catalyst Rnd 1 Late Stage
Investigators
Principal Investigator
Project Contact, Onzo Limited
Other Investigator
Project Contact, Chemistry, Imperial College London
Web Site
Objectives
Abstract
The project aims to scale and deliver to a cloud environment a highly advanced analytical software solution, which will analyse data from Smart Meters & Customer Access Devices (CADs) and detect up to 12 appliances from a single stream of energy data to provide highly personalised energy insight & actionable advice. The solution will be trialled in up to 50K UK households and its effectiveness assessed through analysing changes in energy consumption and improvements in the relationship between the customer and their energy company. ONZO, a world leader in energy data analytics, will lead the analytics development, whilst a major UK energy supplier will be selected through a tender process during the project to manage customer interaction and hardware deployment. The two businesses will collaborate with Imperial College who will undertake rigorous academic appraisal to assess the solution s effectiveness. New analytics services will be offered to customers so they can take action to reduce their energy usage with an objective of saving 5-8% on their energy bills.The project aims to scale and deliver to a cloud environment a highly advanced analytical software solution, which will analyse data from Smart Meters & Customer Access Devices (CADs) and detect up to 12 appliances from a single stream of energy data to provide highly personalised energy insight & actionable advice. The solution will be trialled in up to 50K UK households and its effectiveness assessed through analysing changes in energy consumption and improvements in the relationship between the customer and their energy company. ONZO, a world leader in energy data analytics, will lead the analytics development, whilst a major UK energy supplier will be selected through a tender process during the project to manage customer interaction and hardware deployment. The two businesses will collaborate with Imperial College who will undertake rigorous academic appraisal to assess the solution s effectiveness. New analytics services will be offered to customers so they can take action to reduce their energy usage with an objective of saving 5-8% on their energy bills.
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Added to Database
01/10/15