Abstract
The article provides a classification of existing forecast models the generation of electricity by solar power plants and discusses various options for forecast methods for each of the selected models. As a result of the study, it was concluded that the most promising forecast methods are hybrid statistical-adaptive methods.
Cite
CITATION STYLE
APA
Tyunkov, D. A., Gritsay, A. S., Potapov, V. I., Khamitov, R. N., Blohin, A. V., & Kondratukova, L. K. (2019). Short-term forecast methods of electricity generation by solar power plants and its classification. In Journal of Physics: Conference Series (Vol. 1260). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1260/5/052033
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