Journal
RENEWABLE ENERGY
Volume 128, Issue -, Pages 155-162Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2018.05.069
Keywords
Support vector machines; Global solar radiation; Fog and haze; Air quality index
Funding
- National Natural Science Foundation of China [51508372, 51506141]
- Natural Science Foundation of Tianjin [17JCYBJC22100, 17JCTPJC52700]
- State Key Lab of Subtropical Building Science, South China University Of Technology [2017ZB16]
- Tianjin urban & rural construction commission science and technology project [2017-9]
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In recent years, fog and haze occurred frequently, due to energy crisis and environmental pollution. Fog and haze have significant scattering-weakening effect on solar radiation, resulting in a severe weaken to solar radiation received on a horizontal surface. In this paper, air quality index (AQI) is taken as an additional input parameter, and some new models for estimating global solar radiation on a horizontal surface are proposed based on a support vector machine (SVM). The accuracy of SVM-1 and SVM-2 models are compared and analyzed, and the results show that the performance of SVM-2 models with an extra input parameter AQI are generally improved, for which the R value is promoted from 0.848 to 0.876, the NSE value is lifted from 0.682 to 0.740, the RMSE value is reduced from 0.114 to 0.102, and the MAPE value is decreased from 9.257 to 8.214. Comparing with existing models, SVM models proposed in this paper can improve the accuracy of global solar radiation models. If AQI is used as an additional input parameter to estimate global solar radiation, the accuracy will be further improved. (C) 2018 Elsevier Ltd. All rights reserved.
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