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CIMNE - BEE Group is a research center on big data and artifical intelligence to improve the use of energy in buildings and environment

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Development of data driven models to get insights of the energy performance of huge amounts of buildings in real operation conditions.
Development of data driven models to get insights of the energy performance of huge amounts of buildings in real operation conditions.
Development of data driven models to get insights of the energy performance of huge amounts of buildings in real operation conditions.
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Developing technologies to maximize the flexibility of the electricity networt while optimizing the use of Renewable Energy Sources in urban environments.
Developing technologies to maximize the flexibility of the electricity networt while optimizing the use of Renewable Energy Sources in urban environments.
Developing technologies to maximize the flexibility of the electricity networt while optimizing the use of Renewable Energy Sources in urban environments.
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A comprehensive work about design and installation of small/medium scale bio-digesters, adapting to simple technologies in cold climates.
A comprehensive work about design and installation of small/medium scale bio-digesters, adapting to simple technologies in cold climates.
A comprehensive work about design and installation of small/medium scale bio-digesters, adapting to simple technologies in cold climates.
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Help energy users to save energy by positively manage their consumption with new developments to understand their behavior and performance.
Help energy users to save energy by positively manage their consumption with new developments to understand their behavior and performance.
Help energy users to save energy by positively manage their consumption with new developments to understand their behavior and performance.
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Working actively to raise the awareness of the trend towards near zero and energy positive buildings.
Working actively to raise the awareness of the trend towards near zero and energy positive buildings.
Working actively to raise the awareness of the trend towards near zero and energy positive buildings.

ENMA

Enma is the big data software developed by CIMNE BEE Group that allows to store, manage and analyse vast amounts of structured and unstructured data quickly, reliably, flexibly and at low-cost.

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Research projects
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SENSEI Smart energy services integrating the multiple benefits from improving the energy efficiency of the European building stock

SENSEI Smart energy services integrating the multiple benefits from improving the energy efficiency of the European building stock

2019 - 2022
PNB Programa Nacional de Biodigestores en Ecuador

PNB Programa Nacional de Biodigestores en Ecuador

2018
FLEXCOOP Flexibility-based Demand Response

FLEXCOOP Flexibility-based Demand Response

2017 - 2020
SIE3 Sistema de Información Energética de Edificios en Ecuador

SIE3 Sistema de Información Energética de Edificios en Ecuador

2017 - 2019
SHERPA Shared knowledge for Energy renovation in buildings by Public Administrations

SHERPA Shared knowledge for Energy renovation in buildings by Public Administrations

2017 - 2019
FLEXEDINET Gestió activa intel·ligent d’energia en edificis terciaris

FLEXEDINET Gestió activa intel·ligent d’energia en edificis terciaris

2016 - 2017
REFER Reducció Energètica i Flexibilitat en Edificis en Rehabilitació

REFER Reducció Energètica i Flexibilitat en Edificis en Rehabilitació

2016 - 2019
Sim4Blocks Simulation supported real-time energy management in building blocks

Sim4Blocks Simulation supported real-time energy management in building blocks

2016 - 2020
EDI_Net The Energy Data Innovation Network

EDI_Net The Energy Data Innovation Network

2016 - 2019
BUILD UP Operation, maintenance, improvement and promotion

BUILD UP Operation, maintenance, improvement and promotion

Empowering customers to save energy by informative billing

Empowering customers to save energy by informative billing

2013 - 2016
ZEBRA 2020 Nearly Zero-Energy Buildings Strategy

ZEBRA 2020 Nearly Zero-Energy Buildings Strategy

2014 - 2016
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