PVOD has total 271,968 records and is constructed from two data sources with a 15-min interval, namely, Numerical Weather Prediction (NWP) from meteorological service and Local Measurements Data (LMD) from PV power stations.
- NWP includes 7 features, i.e., global irradiance, direct irradiance, temperature, humidity, wind speed, wind direction, and pressure.
- Local Measurements Data includes 7 features, i.e., global irradiance, diffuse irradiance, temperature, pressure, wind direction, wind speed, and photovoltaic output records.
numpy==1.18.4
pandas==1.1.3
pvlib==0.8.1
pysolar==0.9
pytz==2018.9
Research Paper:
Plain Text:
Yao, Tiechui, et al. "A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit." Solar Energy 230 (2021): 122-130.
BibTeX:
@article{yao2021photovoltaic, title={A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit}, author={Yao, Tiechui and Wang, Jue and Wu, Haoyan and Zhang, Pei and Li, Shigang and Wang, Yangang and Chi, Xuebin and Shi, Min}, journal={Solar Energy}, volume={230}, pages={122--130}, year={2021}, publisher={Elsevier} issn = {0038-092X}, doi = {https://doi.org/10.1016/j.solener.2021.09.050}, url = {https://www.sciencedirect.com/science/article/pii/S0038092X21008070} }
URL:
https://www.sciencedirect.com/science/article/pii/S0038092X21008070
Dataset:
Tiechui Yao; Jue Wang; Haoyan Wu; Pei Zhang; Shigang Li; Yangang Wang; Xuebin Chi; Min Shi. PVOD v1.0 : A photovoltaic power output dataset. (V4). 2021. Science Data Bank. 2021-08-24. doi:10.11922/sciencedb.01094; http://www.doi.org/10.11922/sciencedb.01094
URL:
http://www.doi.org/10.11922/sciencedb.01094
If you have any questions relate to PVOD and code, please let us know.
Email: [email protected]
MIT License.
