A neural network model for short-term PV - energy forecasting

Nowadays, energy consumption in the world is growing becomes relevant to solve the problem of replacing traditional sources with alternative ones. The solution to this problem is impossible without preliminary forecasting of energy production by alternative sources. In this paper, we consider the pr...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-05, Vol.1546 (1), p.12105
Main Authors: Tyunkov, D A, Gritsay, A S, Rodionov, V S, Sapilova, A A, Blokhin, A V, Paltseva, N A
Format: Article
Language:English
Subjects:
alternative energy
data analysis
Economic forecasting
electricity generation
Energy consumption
forecasting
Mathematical models
Neural networks
Power plants
Weather
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Summary:Nowadays, energy consumption in the world is growing becomes relevant to solve the problem of replacing traditional sources with alternative ones. The solution to this problem is impossible without preliminary forecasting of energy production by alternative sources. In this paper, we consider the problem of solving the problem forecasting electric energy by solar power plants, considering the influence of external factors (weather conditions) using a model implemented on the basis a neural network.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1546/1/012105