Ashenafi Admasu Jemberie's research while affiliated with Wolaita Sodo University and other places

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Publication (1)

Map of the study site.
Flow chart.
Structure of ANN to predict GSR.
Prediction of daily averaged Horizontal GSR using ANN network type...
+3 (Continued).
Estimating solar radiation using artificial neural networks: a case study of Fiche, Oromia, Ethiopia
Article
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  • Jun 2023
The precise assessment and evaluation of global solar radiation (GSR) is crucial for designing effective solar energy systems. However, in developing countries like Ethiopia, the cost and maintenance of measuring devices are inadequate. As a result, researchers have explored alternative methods such as empirical models to estimate GSR. This article...
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Citations

... Researchers have developed various wind speed forecasting methods based on historical wind speed time series data [16][17][18][19][20], classified into physical, statistical, and machine learning models [21]. Physical models rely on meteorological data but are computationally complex, while statistical models like ARIMA and GARCH are more accurate but not suitable for long-term prediction [22][23][24][25][26]. Machine learning models, including support vector machines [34], decision trees [35], and artificial neural networks (ANNs) [36][37][38], efficiently handle complex, nonlinear features [27][28][29][30][31][32][33]. ...
Reference: Improving wind speed forecasting at Adama wind farm II in Ethiopia through deep learning algorithms
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