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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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 Outcomes and results

 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.

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

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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