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NATural Language Energy for Promoting CONSUMER Sustainable Behaviour

Objective

Residential energy consumption represents the 28% of all EU consumption and if commercial buildings are also considered this percentage increases to 40% (36% of EU CO2 emissions). In this context, is clear that the reduction of consumption in the residential sector should play an important role in energy efficiency programmes and policies as is stated in the recent Energy Efficiency Directive 2012/27/EU.
Most energy efficiency measures implemented in Europe involved technological interventions. In contrast, everyday energy-consuming behaviours are largely habitual and therefore the potential of energy savings at home with actions focused in consumer behaviour is really promising. In this context the provision of feedback to consumers has resulted in really promising results, achieving savings in the range of 5-20%. But some limitations exists. The aim of this project is to fill the gaps and advanced in this context, being an essential preparatory activity for the future large scale demonstration of feedback methodologies.
The key aim of this project is to develop an advanced and integral user-centred framework for the implementation of efficient energy feedback programmes in the domestic area. Our approach relies in the complete characterisation of the EU energy consumer, and the design of specific personalised actions tailored to each consumer pattern detected based on the use of natural language and emotional contents. NATCONSUMERS will set the scenario to allow strengthening the dialogue between the EU energy system stakeholders in order to define robustness methodologies exploiting to the maximum the potential of energy feedback approaches, filling the existing gaps not still covered by previous pilots and experiments.
NATCONSUMERS consortium brings together representatives of all stakeholders and areas involved in the project. A concise dissemination and awareness programme is proposed to reach the target communities and increase the impact of the project.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSA - Coordination and support action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-LCE-2014-2015

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Coordinator

ARIOSZ SZOLGALTATO INFORMATIKAI ESTANACSADO KORLATOLT FELELOSSEGU TARSASAG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 296 250,00
Address
ROZSA UTCA 29 2 EM 3
1077 BUDAPEST
Hungary

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Közép-Magyarország Budapest Budapest
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 298 125,00

Participants (10)

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