Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data
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- 作者：Masoud Vakilia ; Saeed Reza Sabbagh-Yazdib ; Syazdi@kntu.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Soheila Khosrojerdic ; Koosha Kalhord
- 关键词：Global solar radiation ; MLP artificial neural network ; Prediction ; Input parameters ; Modeling ; Particulate matter
- 刊名：Journal of Cleaner Production
- 出版年：2017
- 出版时间：10 January 2017
- 年：2017
- 卷：141
- 期：Complete
- 页码：1275-1285
- 全文大小：824 K
文摘
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ANN modeling was developed to predict the daily global solar radiation.
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Particulate Matters are key parameter for global solar radiation prediction by ANN.
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The best model is with RMSE (0.05), MAPE (1.5%) and R2 (99%).
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The estimation results of models are compared to others researchers.