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Author/Affiliation: Getu HailuOpen AccessArticle
17 Pages, 2,552 KB 
Evaluation of Various Deep Learning Models for Short-Term Solar Forecasting in the Arctic using a Distributed Sensor Network
Abstract:
The solar photovoltaic (PV) power generation industry has experienced substantial, ongoing growth over the past decades as a clean, cost-effective energy source. As electric grids use ever-larger proportions of solar PV, the technology’s inherent variability—primarily due to clouds—poses a challenge to maintaining grid stability. This is especially true for geographically dense, electrically isolated grids common…
Read More(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Electrical Engineering (ELE))