WILIAM Task 7.4
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Parrado-Hernando, Gonzalo
1
- Pfeifer, Antun 2
- Herc, Luka 3
- Gjorgievski, Vladimir 4
- Batas Bjelic, Ilija 5
- Duić, Neven 2
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Frechoso Escudero, Fernando
1
- Miguel González, Luis Javier 1
- Capellán-Perez, Iñigo 1
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1
Universidad de Valladolid
info
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2
University of Zagreb
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- 3 University of Zagreb, Zagreb
- 4 University Ss Cyril and Methodius
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5
University of Belgrade
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Editor: Zenodo
Año de publicación: 2022
Tipo: Dataset
Resumen
This is the official repository of the Task 7.4 of H2020 Locomotion project. Feel free to use our data by citing this work and comment about our work by referencing the main authors of it. The article explaining this work is under revision. it will be referenced as soon as posible. <strong>Text files </strong>("create_inputs.txt" and "run_simulations.txt") --> The first Python script creates the input files for EnergyPLAN. The second one runs iteratively EnergyPLAN to generate the outputs of combinations. Hourly distributions required to run the energy model are contained in the RAR file ("EUdist.rar"). The <strong>PowerPoint file</strong> ("EnergyPLAN_instructions.pptx") explains the procedure to carry out the runs of combinations in Python/Excel. In case you couldn't properly do the combinations, the<strong> Excel file</strong> ("EU.xlsx") saves this information, so the steps of the approach could be followed from this point with the Excel file. We have used Power Query (Excel) to prepare the data for the next step of building the regression models. The <strong>Matlab file (</strong>"CreateRegressionModels.m"<strong>)</strong> automatically generates the regression models for the European region of WILIAM (official model of the Locomotion project).