Using Machine Learning to forecast Solar Power in Ismailia

IJSRP, Volume 11, Issue 12, December 2021 Edition [ISSN 2250-3153]

Using Machine Learning to forecast Solar Power in Ismailia

Gehan H. Allam, Basem E. Elnaghi, M. N. Abdelwahab, Reham H. Mohammed

Abstract: The main goal of this study is the forecasting of Photovoltaic (PV) power production in Ismailia, Egypt. For the aim of this, a Photovoltaic system was chosen to produce electric power as a clean power. The forecasting process depends on the weather data downloaded from the database of the European Commission s science and knowledge service for the region of Ismailia city, Egypt.

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Gehan H. Allam, Basem E. Elnaghi, M. N. Abdelwahab, Reham H. Mohammed (2021); Using Machine Learning to forecast Solar Power in Ismailia; International Journal of Scientific and Research Publications (IJSRP) 11(12) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.11.12.2021.p12033