DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-3, Issue-8 ( Aug, 2015 ) | |||||||||
Paper Title |
Estimation Of Solar Radiation By Artificial Neural Network Model | |||||||||
Author Name |
Sweta Kumari, Kumari Namrata | |||||||||
Affilition |
M.Tech, Department of Electrical and Electronics Engineering, NIT Jamshedpur Professor, Department of Electrical and Electronics Engineering, NIT Jamshedpur | |||||||||
Pages |
34-37 | |||||||||
Abstract |
-In this paper artificial neural Networks is used for predicting solar global radiation by using meteorological parameters. Seven meteorological parameters is considered for 14 cities to estimate solar radiation. The inputs are wind speed, rainfall, sunshine duration, temperature, vapour pressure, humidity, and rainy day. The ANN model is based on the feed forward multilayer perception model with seven inputs and one output. Based on the results, the average MAPE, mean bias error for the predicted global solar irradiation are 3.99%and 2.96%.The results shown a better accuracy than other conventional prediction models. The results of these models have shown the capability of ANN models for predicting solar radiation in the locations that there is no any measurement. Index Terms- Global Radiation, Solar Radiation, Artificial Neural Networks, Meteorological Parameters, Forecasting. | |||||||||
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