Academic Journal

Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia

التفاصيل البيبلوغرافية
العنوان: Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia
المؤلفون: Bizuayehu Abebe Worke, Hans Bludszuweit, José A. Domínguez-Navarro
المصدر: Energies; Volume 13; Issue 21; Pages: 5714
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2020
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: solar radiation modeling, GIS, interpolation, digital elevation model, data mining, ANFIS
الوصف: High quality of solar radiation data is essential for solar resource assessment. For remote areas this is a challenge, as often only satellite data with low spatial resolution are available. This paper presents an interpolation method based on topographic data in digital elevation model format to improve the resolution of solar radiation maps. The refinement is performed with a data mining method based on first-order Sugeno type Adaptive Neuro-Fuzzy Inference System. The training set contains topographic characteristics such as terrain aspect, slope and elevation which may influence the solar radiation distribution. An efficient sampling method is proposed to obtain representative training sets from digital elevation model data. The proposed geographic information system based approach makes this method reproducible and adaptable for any region. A case study is presented on the remote Amhara region in North Shewa, Ethiopia. Results are shown for interpolation of solar radiation data from 10 km × 10 km to a resolution of 1 km × 1 km and are validated with data from the PVGIS and SWERA projects.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: F: Electrical Engineering; https://dx.doi.org/10.3390/en13215714
DOI: 10.3390/en13215714
الاتاحة: https://doi.org/10.3390/en13215714
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.53A96649
قاعدة البيانات: BASE