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Eco-Bot SIGNED

Personalised ICT-tools for the Active Engagement of Consumers Towards Sustainable Energy

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Eco-Bot" data sheet

The following table provides information about the project.

Coordinator
RISA SICHERHEITSANALYSEN GMBH 

Organization address
address: XANTENER STRASSE 11
city: BERLIN
postcode: 10707
website: www.risa.de

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 Germany [DE]
 Project website http://www.eco-bot.eu
 Total cost 2˙521˙566 €
 EC max contribution 1˙964˙145 € (78%)
 Programme 1. H2020-EU.3.3.1. (Reducing energy consumption and carbon foorpint by smart and sustainable use)
 Code Call H2020-EE-2017-RIA-IA
 Funding Scheme IA
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2021-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    RISA SICHERHEITSANALYSEN GMBH DE (BERLIN) coordinator 316˙531.00
2    UNIVERSITY OF STRATHCLYDE UK (GLASGOW) participant 250˙687.00
3    SEnerCon GmbH DE (Berlin) participant 244˙300.00
4    ADELPHI RESEARCH GEMEINNUTZIGE GMBH DE (BERLIN) participant 241˙875.00
5    DEXMA SENSORS SL ES (BARCELONA) participant 198˙712.00
6    PLEGMA LABS TECHNOLOGIKES LYSEIS ANONYMOS ETAIRIA EL (MAROUSI) participant 197˙749.00
7    ESTABANELL Y PAHISA ENERGIA SA ES (GRANOLLERS) participant 193˙593.00
8    UNIWERSYTET EKONOMICZNY W KATOWICACH PL (KATOWICE) participant 170˙937.00
9    ENVIRONMENTAL RELIABILITY AND RISK ANALYSIS EL (ATHENS) participant 149˙758.00
10    BOTEGO BILGI TEKNOLOJILERI A.S. TR (ISTANBUL) participant 0.00

Map

 Project objective

'Eco-Bot aims to utilize recent advances in chatbot tools and advanced signal processing (i.e. energy disaggregation) using low-resolution smart meter-type data with the goal of changing their behaviour towards energy efficiency. Eco-Bot targets to a personalized virtual energy assistant to deliver information on itemized (appliance-level) energy usage through a chat-bot tool. The 'chat-bot' functionality will be use an attractive frontend interface, permitting seamless communication in a more natural and interactive way than a traditional mobile application. This way, Eco-Bot aims to achieve a higher level of engagement with consumers than previous efforts (i.e. serious games, gamification, competitions or other interactive ICT), by adding a more engaging form of interaction with existing platforms that has been proven in different market settings. The proposed system considers knowledge of the delivered multi-factorial models, including rebound-effects, as a result of the baseline research on both European and International activities. Then, based on advanced ICT, such as knowledge engineering, machine learning, expert systems, the project transforms the multi-factorial models for energy reduction to interactive, personalized and targeted recommendations to consumers on how to save energy. Eco-Bot uses also existing NILM, e.g. energy disaggregation methods, and data analytics to break down consumption to the appliance level, where this is possible (smart meters at reasonable granularity, adequate number of information collected) so as to make consumers aware of their most energy-consuming devices. The project will demonstrate the system in three different use cases, each one representing a different business model (B2B / B2B2C /B2C). We aim to validate our system across real and diverse conditions such as socio-cultural, environmental, demographic, climate and consumption, so as to draw concrete conclusions regarding performance, effectiveness, affordability, etc.'

 Deliverables

List of deliverables.
Definition of the Use Cases and Requirements Documents, reports 2020-03-24 10:44:06
Data Management Plan Documents, reports 2020-03-24 10:44:06
Dissemination strategy and action plan Draft Version Documents, reports 2020-03-24 10:44:06
Taxonomy of energy efficiency models Documents, reports 2020-03-24 10:44:06
Mapping consumers needs to the taxonomy model Documents, reports 2020-03-24 10:44:06
Report on the liaison and cluster activities with the other projects Version 1 Documents, reports 2020-03-24 10:44:06

Take a look to the deliverables list in detail:  detailed list of Eco-Bot deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Zhao, Bochao; Stankovic, Lina; Stankovic, Vladimir
Electricity usage profile disaggregation of hourly smart meter data
published pages: , ISSN: , DOI: 10.5281/zenodo.1217063
1 2020-03-24

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The information about "ECO-BOT" are provided by the European Opendata Portal: CORDIS opendata.

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