Results (1)
Search Parameters:
Author/Affiliation: Fatima-Zahra BelouadhaOpen AccessArticle
7 Pages, 2,135 KB 
Deep Learning based Models for Solar Energy Prediction
Abstract:
Solar energy becomes widely used in the global power grid. Therefore, enhancing the accuracy of solar energy predictions is essential for the efficient planning, managing and operating of power systems. To minimize the negatives impacts of photovoltaics on electricity and energy systems, an approach to highly accurate and advanced forecasting is urgently needed. In this…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Electrical Engineering (ELE))