Data for: Web data extraction from System Operator's public-access website and its use in predicting and modeling the formation of the Spanish day-ahead electricity price

Published: 6 Feb 2019 | Version 1 | DOI: 10.17632/92rgb5cfhp.1
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Description of this data

Raw table of ordered explanatory variables with autoregressive elements already calculated. This table was used to train the GBRT. Also the prediction results and the partial dependence analysis are provided.

Experiment data files

This data is associated with the following publication:

Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression

Published in: Applied Energy

Latest version

  • Version 1

    2019-02-06

    Published: 2019-02-06

    DOI: 10.17632/92rgb5cfhp.1

    Cite this dataset

    Díaz, Guzmán (2019), “Data for: Web data extraction from System Operator's public-access website and its use in predicting and modeling the formation of the Spanish day-ahead electricity price”, Mendeley Data, v1 http://dx.doi.org/10.17632/92rgb5cfhp.1

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Categories

Energy Prices

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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