Data for: Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

Published: 23 Mar 2019 | Version 1 | DOI: 10.17632/f4fcrh4tn9.1

Description of this data

This is hourly load data of the power supply company of the city of Johor in Malaysia generated in 2009 and 2010. This data has been used in the paper "Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series", for Energy: The International Journal.

Experiment data files

This data is associated with the following publication:

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

Published in: Energy

Latest version

  • Version 1

    2019-03-23

    Published: 2019-03-23

    DOI: 10.17632/f4fcrh4tn9.1

    Cite this dataset

    Guimaraes, Frederico; Javedani Sadaei, Hossein (2019), “Data for: Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series”, Mendeley Data, v1 http://dx.doi.org/10.17632/f4fcrh4tn9.1

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Categories

Electrical Engineering, Electric Power, Demand Forecasting

Licence

CC BY 4.0 Learn more

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

What does this mean?

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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