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Dataset . 2020
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Dataset . 2020
License: CC BY
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Electricity Weekly Dataset

Authors: Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff; Hyndman, Rob; Montero-Manso, Pablo;

Electricity Weekly Dataset

Abstract

{"references": ["UCI, 2020. Electricityloaddiagrams20112014 data set, uci machine learning repository. Accessed: 2020-04-30. URL https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014", "Lai, G., Chang, W., Yang, Y., Liu, H., 2017. Modeling long and short-term temporal patterns with deep neural networks. CoRR abs/1703.07015.URL http://arxiv.org/abs/1703.07015", "Lai, G., 2017. multivariate-time-series-data. https://github.com/laiguokun/multivariate-time-series-data, accessed: 2020-05-04"]}

The electricity dataset represents the electricity consumption of 370 clients recorded in 15-minutes periods in Kilowatt (kW) from 2011 to 2014. The uploaded dataset is an aggregated version of the hourly electricity dataset used by Lai et al. (2017). It contains 321 weekly time series from 2012 to 2014.

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Keywords

electricity data, forecasting, weekly series

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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