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verv: advanced home electricity analytics

Total Cost €


EC-Contrib. €






 verv project word cloud

Explore the words cloud of the verv project. It provides you a very rough idea of what is the project "verv" about.

artificial    valuable    retailers    decarbonisation    7m    energy    trial    generates    launch    000tco2    extend    learning    environmental    outputs    annual    green    metrics    strategy    consumption    contribution    data    profile    positions    operation    continental    storage    customise    uk    services    multiple    ip    38    ebit    verv    intelligence    patented    edge    commercial    pan    iappliance    generating    applies    algorithms    founded    skilled    first    power    23    engagement    innovation    domestic    customers    detect    map    time    sme    gt    boost    accelerate    follow    feasibility    6m    fast    analytics    centrica    updating    quality    household    began    200    solution    portfolio    2009    networks    supporting    active    drivers    jobs    industrial    forecast    projections    machine    electricity    revenues    customer    suggest    2022    electrical    2020    running    proposition    seek    subject    market    markets    cutting    hz    acquisitions    refinement    tco2    generate    generation    creation    validate    sources    risk    road    tools    itemised    2014   

Project "verv" data sheet

The following table provides information about the project.


Organization address
city: BATH
postcode: BA1 1UD
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2017-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GREEN RUNNING LIMITED UK (BATH) coordinator 50˙000.00


 Project objective

Founded in 2009, Green Running are a fast growth EU SME working with a range of key electricity sector partners (Centrica, UK Power Networks). Having already established a portfolio of commercial and industrial sector electricity analytics tools, in 2014 Green Running began development of a domestic solution -verv.

Verv applies patented machine learning algorithms to detect and profile all sources of electrical activity (generation, storage and consumption) active on a household's electrical system. Generating real time, itemised (iappliance level), usage data across metrics such as energy (kWh), cost (€), environmental impact (tCO2) and power quality (Hz) - verv generates valuable outputs for electricity retailers to customise/extend their services.

With continental Europe subject to many of the same drivers, and several of Green Running's target customers (electricity retailers) active in multiple EU markets, Green Running now seek a H2020 Phase 1 feasibility study to validate verv's pan-European commercial and technical potential. A 5 month project including market study, proposition refinement, partner engagement, IP strategy management, technology road map updating for multi-market operation and risk management will provide Green Running with the comprehensive knowledge, and partners it requires to first undertake a follow on multi-market field trial, and then launch verv in non-UK markets by 2020. Current projections suggest doing so can boost verv's customer acquisitions by 200%, generate annual revenues of >€6m by 2022 and an operating EBIT of €1.7m supporting creation of 38 new jobs, 23 of which will be high skilled positions at Green Running. >30,000tCO2 are also forecast to be avoided, making a valuable contribution to EU decarbonisation.

This Phase 1 study will accelerate and extend the growth of a high potential EU SME, allowing it to establish Europe's presence in the cutting edge innovation fields of artificial intelligence, and data analytics.

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The information about "VERV" are provided by the European Opendata Portal: CORDIS opendata.

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