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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.

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

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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