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EnergySequence SIGNED

Building data scientist to help us dive deep into the very large amount structured time series data pertaining to building energy use

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 EnergySequence project word cloud

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

input    analys    devised    cooling    team    forecast    scalable    sequencing    structured    load    building    demand    site    innovation    responsibilities    ratios    deep    startup    concerned    grant    data    verification    candidate    scientis    integration    heating    juggle    comfortable    saving    time    innovative    prototyping    automate    assisting    engineers    rule    cutting    assessing    asessment    ideal    perform    ai    sophisticated    series    audit    abnormal    scientist    machine    rapid    conservation    searches    developers    shifting    closely    statistical    contexts    learning    algorithms    insights    skills    career    first    gleaned    multiple    disaggregation    fraction    consumption    amount    optimal    recommendation    algorithmic    pertaining    switch    recommendations    deployment    schedules    base    baseline    assist    12    limited    literature    assure    establishing    software    remotely    platform    dive    intelligence    edge    models    recruitment    ing    model    code    stop    responsible    energy    efficiency    virtual    start   

Project "EnergySequence" data sheet

The following table provides information about the project.

Coordinator
VATIA ENERGIA SL 

Organization address
address: CALLE MARIA CURIE 8 EDIF. B PARQUE TECNOLOGICO DE ANDALUCIA
city: MALAGA
postcode: 29590
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 Spain [ES]
 Project website https://www.bettergy.es/en/
 Total cost 68˙000 €
 EC max contribution 68˙000 € (100%)
 Programme 1. H2020-EU.2.3.2.2. (Enhancing the innovation capacity of SMEs)
 Code Call H2020-INNOSUP-02-2016
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VATIA ENERGIA SL ES (MALAGA) coordinator 68˙000.00

Map

 Project objective

We are looking for a Building data scientis to help us dive deep into the very large amount of structured time series data pertaining to building energy use and help automate insights gleaned from sophisticated model based energy analys into scalable rule based recommendation system

The Building Data Scientist will be responsible for modelling, but will work closely with Energy Efficiency Engineers and the Software Developers, also assist on new R&D initiatives as needed.

As a member of an innovative startup on a rapid growth path, the ideal candidate must be able to juggle multiple responsibilities, be comfortable in developing cutting-edge statistical and machine learning algorithms as well as have the ability to switch contexts rapidly between research literature searches, rapid algorithmic prototyping, as well as assisting in code testing and deployment.

We have devised a career path for the 12 month grant to assure the best integration in the team, skills development and innovation results for the project.

We expect an important impact resulting from the recruitment as far as the intelligence analysis features of the software platform is concerned. Innovation resulting from the ability to assess energy efficiency remotely without going on site, therefore at a fraction of the time and cost. This innovation will be supported by the development of AI algorithms and building energy models using limited input information.

AI algorithms will enable us to perform a virtual energy audit, assessing energy end-use disaggregation (heating and cooling), time schedules, etc then establishing first energy saving recommendations measures: load shifting, abnormal consumption, energy equipment start and stop optimal sequencing, etc

Building energy modelling determining the building energy demand and consumption forecast, identify the building energy baseline for energy conservation measures asessment and verification, and the energy base load, establishing energy ratios

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ENERGYSEQUENCE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

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