Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS
Abstract In this study, we estimated global horizontal irradiance (GHI) and photovoltaic (PV) power potential in Türkiye using fan Adaptive Neuro-Fuzzy Inference System (ANFIS) with inputs from Meteonorm 8.0. We considered latitude and longitude for GHI estimation and added tilt and azimuth angles f...
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| Language: | English |
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Springer
2025-05-01
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| Series: | Journal of King Saud University: Engineering Sciences |
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| Online Access: | https://doi.org/10.1007/s44444-025-00002-0 |
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| author | Murat Ispir Muharrem Hilmi Aksoy Mete Kalyoncu |
| author_facet | Murat Ispir Muharrem Hilmi Aksoy Mete Kalyoncu |
| author_sort | Murat Ispir |
| collection | DOAJ |
| description | Abstract In this study, we estimated global horizontal irradiance (GHI) and photovoltaic (PV) power potential in Türkiye using fan Adaptive Neuro-Fuzzy Inference System (ANFIS) with inputs from Meteonorm 8.0. We considered latitude and longitude for GHI estimation and added tilt and azimuth angles for PV power potential. Training and testing data yielded Root Mean Square Errors (RMSE) of 10.429 kWh/m2/year and 35.395 kWh/m2/year for GHI, and 3.984 kWh/kWp/year and 39.624 kWh/kWp/year for PV power potential, respectively. The coefficient of determination ( $${R}^{2}$$ R 2 ) was 0.995 for GHI training data, and $${R}^{2}$$ R 2 = 0.946 for GHI testing data, and $${R}^{2}$$ R 2 = 0.993 for PV power potential training data, and $${R}^{2}$$ R 2 = 0.951 for PV power potential testing data. Results showed that the southeast of Türkiye had the highest GHI, around 1900 kWh/m2/year, while the north had the lowest, around 1400 kWh/m2/year. The highest electricity production occurred in the south, approximately 1900 kWh/kWp/year, while the north yielded the least, about 1450 kWh/kWp/year. Tilt angle increase and azimuth angles of -90° or + 90° led to decreased electricity production. This study provides precise GHI and PV power potential estimates for Türkiye, using ANFIS with diverse meteorological inputs. |
| format | Article |
| id | doaj-art-4a3e5cda868f4cfe8cab99f937e72afa |
| institution | Kabale University |
| issn | 1018-3639 2213-1558 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Engineering Sciences |
| spelling | doaj-art-4a3e5cda868f4cfe8cab99f937e72afa2025-08-20T04:03:03ZengSpringerJournal of King Saud University: Engineering Sciences1018-36392213-15582025-05-01371-211210.1007/s44444-025-00002-0Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFISMurat Ispir0Muharrem Hilmi Aksoy1Mete Kalyoncu2Konya Technical University Faculty of Engineering and Natural SciencesKonya Technical University Faculty of Engineering and Natural SciencesKonya Technical University Faculty of Engineering and Natural SciencesAbstract In this study, we estimated global horizontal irradiance (GHI) and photovoltaic (PV) power potential in Türkiye using fan Adaptive Neuro-Fuzzy Inference System (ANFIS) with inputs from Meteonorm 8.0. We considered latitude and longitude for GHI estimation and added tilt and azimuth angles for PV power potential. Training and testing data yielded Root Mean Square Errors (RMSE) of 10.429 kWh/m2/year and 35.395 kWh/m2/year for GHI, and 3.984 kWh/kWp/year and 39.624 kWh/kWp/year for PV power potential, respectively. The coefficient of determination ( $${R}^{2}$$ R 2 ) was 0.995 for GHI training data, and $${R}^{2}$$ R 2 = 0.946 for GHI testing data, and $${R}^{2}$$ R 2 = 0.993 for PV power potential training data, and $${R}^{2}$$ R 2 = 0.951 for PV power potential testing data. Results showed that the southeast of Türkiye had the highest GHI, around 1900 kWh/m2/year, while the north had the lowest, around 1400 kWh/m2/year. The highest electricity production occurred in the south, approximately 1900 kWh/kWp/year, while the north yielded the least, about 1450 kWh/kWp/year. Tilt angle increase and azimuth angles of -90° or + 90° led to decreased electricity production. This study provides precise GHI and PV power potential estimates for Türkiye, using ANFIS with diverse meteorological inputs.https://doi.org/10.1007/s44444-025-00002-0ANFISEstimationGlobal Horizontal IrradiationPhotovoltaicPVsyst |
| spellingShingle | Murat Ispir Muharrem Hilmi Aksoy Mete Kalyoncu Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS Journal of King Saud University: Engineering Sciences ANFIS Estimation Global Horizontal Irradiation Photovoltaic PVsyst |
| title | Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS |
| title_full | Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS |
| title_fullStr | Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS |
| title_full_unstemmed | Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS |
| title_short | Estimation of solar radiation and photovoltaic power potential of Türkiye using ANFIS |
| title_sort | estimation of solar radiation and photovoltaic power potential of turkiye using anfis |
| topic | ANFIS Estimation Global Horizontal Irradiation Photovoltaic PVsyst |
| url | https://doi.org/10.1007/s44444-025-00002-0 |
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