Projects: Projects for Investigator |
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Reference Number | InnUK/102228/01 | |
Title | Highly Personalised Energy Advice | |
Status | Completed | |
Energy Categories | Energy Efficiency(Residential and commercial) 75%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 25%; |
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Research Types | Applied Research and Development 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 75%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 50%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 50%; |
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Principal Investigator |
Project Contact No email address given Onzo Limited |
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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 (67.404%) |
Other Investigator | Project Contact , Chemistry, Imperial College London (32.596%) |
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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. | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 01/10/15 |