Published June 11, 2020
| Version 3
Dataset
Open
Solar Dataset (10 Minutes Observations)
- 1. PhD Student at Monash University
- 2. Lecturer at Monash University
- 3. Professor at Monash University
- 4. Lecturer at University of Sydney
Description
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.
The uploaded dataset contains the aggregated version of a subset of the original dataset used by Lai et al. (2017). It contains 137 time series representing the solar power production recorded per every 10 minutes in Alabama state in 2006.
Files
solar_10_minutes_dataset.zip
Files
(4.6 MB)
| Name | Size | Download all |
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md5:84c0de18383c911091a3cd274661b029
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4.6 MB | Preview Download |
Additional details
Related works
- Cites
- Dataset: https://www.nrel.gov/grid/solar-power-data.html (URL)
- Other: http://arxiv.org/abs/1703.07015 (URL)
- Dataset: https://github.com/laiguokun/multivariate-time-series-data (URL)
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