Datasets
Standard Dataset
ST PV forecast
- Citation Author(s):
- Submitted by:
- Ruiyuan Zhang
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/apqs-mb45
- Research Article Link:
- License:
787 Views- Categories:
Abstract
This dataset is for short-term spatio-temporal PV forecasting.
This dataset consists of three two parts. The first part is the spatio-temporal PV dataset which obatined from different PV sites. The second part is the corresponding weather datasets, including temperature, wind speed, wind direction, etc.
The dataset also contains the demo codes for showing the concept of a machine learning based PV forecasting model.
More information will be added in the future.
"PVDATA_sample" contains sample of spatio-temporal PV monitoring data of the University of Queensland, from 20180721 to 20180817.
"Weather_sample" contains sample weather data of the greater Brisbane area from 20180721 to 20180817.
"Code_sample" contains DEMO code for the BILST model for showing the concept.
We are planning to establish an open platform for the PV spatio-temporal forecasting. The above folder will be updated in the future and new data will be added as well.
Comments
Thank you!
Hi
I am PhD student from FCUL, Lisbon. I am doing reserach on forecasting energy production for PV. I am interested to see your resreach and data. Can you share your dataset with me? If so, please inbox me a download link at my email adress: jcsimoes@fc.ul.pt
Thanks