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Stochastic model for prediction of microgrid photovoltaic power generation.

Authors :
Baeva, Silvia
Stanev, Rad
Popov, Stoyan
Hinov, Nikolay
Pasheva, Vesela
Popivanov, Nedyu
Venkov, George
Source :
AIP Conference Proceedings. 2020, Vol. 2333 Issue 1, p1-10. 10p.
Publication Year :
2020

Abstract

In this article, a stochastic model for prediction of microgrid photovoltaic power generation, using statistical and stochastic methods is presented. The study is performed in the following steps: Processing of a large database of historical data (Data Mining); Construction of a stochastic forecasting model; Reporting a symmetric mean absolute percentage error in forecasting. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2333
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
149168318
Full Text :
https://doi.org/10.1063/5.0041825