Project description
Energy-efficient behaviour mechanisms to reduce energy poverty
Energy poverty is a pressing concern for households that grapple with the challenges of accessing affordable and dependable energy services. The EU has taken steps to tackle this issue by promoting energy-efficient behaviours. However, influencing user behaviour necessitates a deep understanding of the mechanisms behind it. The MSCA-funded DEEP project will determine whether analysing energy usage patterns can offer valuable insights for behavioural interventions aimed at alleviating energy poverty. Specifically, it will identify patterns in energy consumption behaviour, shedding light on potential cognitive biases that affect energy efficiency, and explore policy interventions to counter these cognitive biases. To achieve these goals, the project employs graph data modelling to analyse user-level data and quantify energy usage patterns.
Objective
Energy poverty households face insufficient access to affordable and reliable energy services, which can lead to adverse health effects and risky coping strategies. The EU made energy poverty a policy priority in the Clean energy for all Europeans package in 2019, and one of the objectives is to address energy poverty by promoting energy-efficient behaviors. However, intervening in users' behavioral decisions is difficult as it requires a deep understanding of the behavior patterns and a rational explanation of the behavior mechanism. This project will address a key question in energy poverty research: can behavior pattern analytics facilitate the decision-making of energy poverty? Hence, the main objective is to assess if data-driven analytics of energy use patterns can provide insight into behavioral interventions to address energy poverty. Through this project, the applicant plans to use three progressive analytics tasks to answer the question: (i) Identify the behavior patterns of energy consumption (Descriptive Analytics). (ii) Reveal potential cognitive biases that impede high energy efficiency (Prescriptive Analytics). (iii) Explore policy interventions against cognitive bias (Prediction Analytics). The project will analyze user-level data through Graph Data Modeling to quantify energy use patterns and behaviors, overcoming the limitations of the traditional method relying only on descriptive statistics. Host and secondment will complement the interdisciplinarity of the project from the perspectives of energy behavior (behavioral science) and cognitive visualization (computer science) respectively. The project will facilitate the applicant's long-term research goals with interdisciplinary knowledge, enhancing the development of his career as an independent researcher. Potential beneficiaries are energy poverty households and energy stakeholders. The proposal is in line with the Sustainable Development Goals (SDGs) and objectives of the H2020 program.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
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.
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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2022-PF-01
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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.
76131 Karlsruhe
Germany
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.