Modelling Nonseasonal Daily Clearness Index for Solar Energy Estimation in Ilorin, Nigeria Using Support Vector Regression
Keywords:
Clearness index, support vector regression, global solar radiation,, radial basic function,, kernel functionAbstract
Solar radiation is the primary energy source for the planet and is crucial for energy generation in technologies such as photovoltaic systems and solar thermal food dryers. However, accurately quantifying solar radiation poses challenges due to its variability and the lack of appropriate instrumentation, among other factors. To address this, support vector regression (SVR), a machine learning (ML) algorithm, was employed using various kernel functions such as linear, radial basis function (RBF), and sigmoid, with hyperparameter tuning. This approach aimed to estimate the daily clearness index (K_T), which is a key metric for estimating global solar radiation at Ilorin (8° 32′ N, 4° 34′ E), Nigeria. The SVR models were developed and assessed by considering statistical measures such as the correlation coefficient and mean absolute error. The input parameters used in the model included sunshine hours, maximum temperature, minimum temperature, and the ratio of both temperatures. The correlations between K_T and its estimators, and between its actual and calculated values were all below 70%. SVR-RBF outperformed the others, including the traditional regression model, under the statistical assessment measures, both with the training dataset and the testing dataset. Although the regression model obtained under the same conditions surpassed the other kernel functions in some areas and is highly competitive, SVR-RBF is recommended for the estimation of the daily clearness index in this vicinity.
Similar Articles
- Uzoma Nwokoma Esomchi, Performance of Generated Models with Statistical Tools for Estimation of Solar Radiation in Umudike, Abia State, Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Benjamin Effiong, Emmanuel Akpan, Specification Procedure For Symmetric Smooth Transition Autoregressive Models , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Abdullahi Lawal, Musa Bello, Ahmed Musa Kona, Quasi-particle band structure and optical properties of Perylene Crystal for Solar Cell Application: A G0W0 Calculations , Communication In Physical Sciences: Vol. 8 No. 2 (2022): VOLUME 8 ISSUE 2
- Agada Livinus Emeka, Sonloye Seyi Abiodun, Impacts of Temperature and Precipitation Variability in Northeast Nigeria: a Case Study of Yobe State , Communication In Physical Sciences: Vol. 8 No. 2 (2022): VOLUME 8 ISSUE 2
- Isah Haruna, Yahaya Zakari, Umar Kabir Abdullahi, Reuben Oluwabukunmi David, Jamilu Yunusa Falgore, On the Study of Kumaraswamy Reduced Kies Distribution: Properties and Applications , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Aminu Ismaila, Abubakar Sadiq Aliyu , Yakub Viva Ibrahim, Evaluation of Gamma Radiation Dose Level in Mining Sites of Riruwai, Kano, Nigeria , Communication In Physical Sciences: Vol. 8 No. 1 (2022): VOLUME 8 ISSUE 1
- Habu Tela Abba, Jasini Waida, Busari Kahinde Abdulsemiu, Annual Effective Dose Due to Background Gamma Radiation in Buni Gari, Yobe State , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Rashida Adamu Bulkachuwa, Bello Y. Idi, Musa Muhammad Salihu, Abdullahi Lawal, Salisu Tata, Evaluation of Excessive Lifetime Cancer Risk Due to Gamma Radiation on Rocks in Shira Village, Bauchi State Nigeria , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Olusegun Sowole, Funke Roseline Amodu, Absorption of Solar Infrared Radiation by Tropospheric Water Vapour in Abeokuta Southwest of Nigeria , Communication In Physical Sciences: Vol. 6 No. 1 (2020): VOLUME 6 ISSUE 1
- Olusegun Sowole, Solar UV-Radiation Absorption by Stratospheric Ozone in Lagos Southwest of Nigeria , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
You may also start an advanced similarity search for this article.