Back to Search
Start Over
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
- Source :
- IEEE Transactions of Sustainable Energy, Vol. 9, Issue 2, pp. 831 - 842 (2018)
- Publication Year :
- 2019
-
Abstract
- The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the impact of single components in providing accurate predictions. In this paper we extensively compare simple forecasting methodologies with more sophisticated ones over 32 photovoltaic plants of different size and technology over a whole year. Also, we try to evaluate the impact of weather conditions and weather forecasts on the prediction of PV power generation.<br />Comment: Preprint of IEEE Transactions of Sustainable Energy, Vol. 9, Issue 2, pp. 831 - 842 (2018)
- Subjects :
- Computer Science - Machine Learning
Statistics - Machine Learning
I.2.6
Subjects
Details
- Database :
- arXiv
- Journal :
- IEEE Transactions of Sustainable Energy, Vol. 9, Issue 2, pp. 831 - 842 (2018)
- Publication Type :
- Report
- Accession number :
- edsarx.1903.06800
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/TSTE.2017.2762435