Explore the words cloud of the Eco-Bot project. It provides you a very rough idea of what is the project "Eco-Bot" about.
The following table provides information about the project.
RISA SICHERHEITSANALYSEN GMBH
|Coordinator Country||Germany [DE]|
|Total cost||2˙521˙566 €|
|EC max contribution||1˙964˙145 € (78%)|
1. H2020-EU.3.3.1. (Reducing energy consumption and carbon foorpint by smart and sustainable use)
|Duration (year-month-day)||from 2017-10-01 to 2021-04-30|
Take a look of project's partnership.
|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|
'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.'
|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.
|year||authors and title||journal||last update|
Zhao, Bochao; Stankovic, Lina; Stankovic, Vladimir
Electricity usage profile disaggregation of hourly smart meter data
published pages: , ISSN: , DOI: 10.5281/zenodo.1217063
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The information about "ECO-BOT" are provided by the European Opendata Portal: CORDIS opendata.
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