Dataset Open Access

Solar Weekly Dataset

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


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        <foaf:name>Bergmeir, Christoph</foaf:name>
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        <foaf:name>Montero-Manso, Pablo</foaf:name>
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    <dct:title>Solar Weekly Dataset</dct:title>
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    <dcat:keyword>solar</dcat:keyword>
    <dcat:keyword>forecasting</dcat:keyword>
    <dcat:keyword>weekly series</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-06-11</dct:issued>
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    <dct:description>&lt;p&gt;The solar dataset contains approximately 6000 simulated time series representing 5-minute solar power and hourly day-ahead forecasts of photovoltaic (PV) power plants in United States in 2006.&lt;/p&gt; &lt;p&gt;&lt;br&gt; The uploaded dataset contains the aggregated version of a subset of the original dataset.&amp;nbsp;It contains 137 time series representing the weekly solar power production in Alabama state in 2006.&lt;/p&gt;</dct:description>
    <dct:description>{"references": ["National Renewable Energy Laboratory, 2020. Solar power data for integration studies. Accessed: 2020-04-30. URL https://www.nrel.gov/grid/solar-power-data.html", "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"]}</dct:description>
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