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Review of Low-Voltage Load Forecasting

Read

This is an overview of load forecasting data sets as presented in our paper available as preprint on arXiv and published in Applied Energy.

Contribute

You know datasets that are missing? See our Github repository of this page on how to contribute!

Use

{% for entry in site.data.data %} {% endfor %}
Name Bibtexkey Type No. Customers Resolution Duration Intervention Sub-metering Weather avail. Location Other data provided: Access/Licence
{{ entry.Name }} {% if entry.Bibtexkey[0] %} {% for key in entry.Bibtexkey %} {% cite key %} {% endfor %} {% else %} {% if entry.Bibtexkey %} {% cite entry.Bibtexkey %} {% endif %} {% endif %} {{entry.Type}} {{entry.Customers}} {{entry.Resolution}} {{entry.Duration}} {{entry.Intervention}} {{entry.Submetering}} {{entry.Weather}} {{entry.Location}} {{entry.Other}} {{entry.Licence}}
<script> $(document).ready( function () { $('#dataset-table').DataTable({ "autoWidth": true, "pageLength": 20 }); } ); </script>

Cite

If you find it useful and use it in your work, feel free to cite our preprint:

@article{haben2021review,
    title = {Review of low voltage load forecasting: Methods, applications, and recommendations},
    journal = {Applied Energy},
    volume = {304},
    pages = {117798},
    year = {2021},
    issn = {0306-2619},
    doi = {https://doi.org/10.1016/j.apenergy.2021.117798},
    url = {https://www.sciencedirect.com/science/article/pii/S0306261921011326},
    author = {Stephen Haben and Siddharth Arora and Georgios Giasemidis and Marcus Voss and Danica {Vukadinović Greetham}},
}

References

{% bibliography --cited %}