DEVELOPMENT NEW MODEL for FORECASTING SOLAR RADIATION by USING RATIONAL APPROACH
Abstract
Keywords
Thanks
References
- [1] Yiğit, E., Özkaya, U., Öztürk, Ş., Singh, D., and Gritli, H. (2021). Automatic detection of power quality disturbance using convolutional neural network structure with gated recurrent unit. Mobile Information Systems, 2021, Article ID 7917500, 11 pages.
- [2] Kaplan, A. G., and Kaplan, Y. A., (2020). Developing of the new models in solar radiation estimation with curve fitting based on moving least-squares approximation. Renewable Energy, 146, 2462-2471.
- [3] Kaplan, Y. A., (2018). A new model for predicting the global solar radiation. Environmental Progress & Sustainable Energy, 37, 870-880.
- [4] Zhou, Y., Liu, Y., Wang, D., Liu, X., and Wang, Y. (2021). A review on global solar radiation prediction with machine learning models in a comprehensive perspective. Energy Conversion and Management, 235, 113960.
- [5] Mustafa, J., Alqaed, S., Almehmadi, F. A., and Jamil, B. (2022). Development and comparison of parametric models to predict global solar radiation: a case study for the southern region of Saudi Arabia. Journal of Thermal Analysis and Calorimetry, 147, 9559–9589.
- [6] Solar Energy Maps of Turkey, https://gepa.enerji.gov.tr/MyCalculator/, (acces date: December 2022)
- [7] Zang, H., Cheng, L., Ding, T., Cheung, K. W., Wang, M., Wei, Z., and Sun, G. (2019). Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China. Renewable Energy, 135, 984-1003.
- [8] Husain, S., and Khan, U. A. (2022). Development of machine learning models based on air temperature for estimation of global solar radiation in India. Environmental Progress & Sustainable Energy, 41(4), e13782.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Ayşe Gül Kaplan
*
0000-0002-3131-9079
Türkiye
Publication Date
December 31, 2022
Submission Date
October 30, 2022
Acceptance Date
November 24, 2022
Published in Issue
Year 2022 Number: 051