• Statistical Analysis of the energy saving in REScoops

    Find here the summary of our findings

  • Our research work

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    Statistical Study Methodology

    1. Identify and record existing datasets and their format.
    2. Conclude on a common data format for all cooperatives measurements.
    3. Gather available datasets of the supplying REScoops
    4. Initial statistical analysis: Analyze the historical data before the REScoop Plus project was initiated. This step will give us a first glimpse of what happens in general to the consumption of the cooperative members, and of how existing EE interventions are being applied.
    5. Application of specific EE interventions to certain members and member groups.
    7. Gather available datasets after the application of the EE interventions.
    8. Final statistical analysis: Analyze the impact of each EE measure on the consumption of the end-users.

  • Our delivrables

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    D2.1 - Zero Point Report on Data of Supplying REScoops

    In this deliverable, the state of data that REScoops collected at the beginning of the project has been investigated. The research process included questionnaire survey, interviews, and meetings with the data experts, and highlighted the importance of a common data format to be adopted by the participating REScoops. The stored data are then delivered to the statistical analysis team, which will assess the effectiveness of the various EE interventions. The D2.1 covered steps 1 and 2 of the list above.

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    D2.2 - Methodology for analysis

    In this deliverable, we built a common data format, that can make the statistical analysis process pragmatics, was defined, and guarantee to the extent possible that the results are meaningful and realistic. In addition, TUC outlined the tools that constitute the statistical analysis such as statistical hypothesis testing, regression techniques and population division in groups; D2.2 covered step 3 of the list above.

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    D2.3 - Data Analysis Report

    In this deliverable , the data acquisition process and the definition of the barriers and issues regarding data submission and the presentation of the results of the initial statistical analysis were included (steps 4 and 5 from the list above). Moreover, TUC described in detail the basic components that were utilized, both for data transmission (i.e. bilateral legal agreements, secure storage systems), and for the statistical analysis as well (e.g. group divisions, typical values calculation, statistical hypothesis testing and key performance indicators definitions).

  • Technical University of Crete


    The Technical University of Crete (TUC) ranks amongst the most prominent academic and research institutions in Greece. It was established in 1977 in Chania and consists of five engineering schools. TUC stands at the forefront in the development of modern engineering skills and specializations, as well as in the research for advanced technologies and in their connection with the industrial and productive units of the country.

    The Renewable and Sustainable Energy Systems Laboratory (ReSEL) of the School of Environmental Engineering (www.resel.tuc.gr), covers a wide range of knowledge subjects in the fields of Applied Research and Technology Development for Energy Planning and Sustainable Energy Management. More specifically, ReSEL expertise focuses on: (i) Sustainable Energy Systems-Policy and Planning; (ii) Management of Renewable Energy and Energy Saving Systems; (iii) Sustainable Building, Energy Management and RES Integration.

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