The SOLETE dataset

Author: Daniel Vázquez Pombo ([e-mail]), ORCID: https://orcid.org/0000-0001-5664-9421-------------------------------------------------------------------------------This item includes the SOLETE dataset which is disclosed to increase the transparency and replicability of [1] and [2], which are at different stages of the review process.<br>SOLETE includes 15 months of 5 minute and hourly measurements from the 1st June 2018 to 1st September 2019 covering: Timestamp, air temperature, relative humidity, pressure, wind speed, wind direction, global horizontal irradiance, plane of array irradiance, and active power recorded from an 11 kW Gaia wind turbine and a 10 kW PV inverter.<br><b>Note: </b>Until the final acceptance of the related papers, only a minimum piece of the dataset is shared for illustration purposes. If you want to get a reminder once the full set is made public drop me an email.<br>The origin of the data is SYSLAB, part of DTU Elektro. If you want to learn more about the dataset, you should check out [3].<br>You can use the SOLETE dataset with the codes available here: https://doi.org/10.11583/DTU.17040626<br>The different scripts have various functions. One allows to import SOLETE and show some plots. Another is a platform where you can play with different Machine Learning models for time series forecasting. The application focuses on predicting PV power, but it can be easily edited by the user.<br><br>The publications related to this item are:<br><br>[1] D.V. Pombo, H.W. Bindner, S.V. Spataru, P. Sørensen, P. Bacher, Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning, Sensors. In Press. <br>[2] D.V. Pombo, P. Bacher, C. Ziras, H.W. Bindner, S.V. Spataru, P. Sørensen, Benchmarking Physics-Informed Machine Learning-based Short Term PV-Power Forecasting Tools, Under Review. <br>[3] D.V. Pombo, O.G. Gehrke, H.W. Bindner, Solete, a 15-month long holistic dataset including: meteorology, co-located wind and solar PV power from Denmark with hourly resolution, Data in Brief. Under Review.<br>