alexa Abstract | Application of artificial neural network and Angstrom-Prescott models in prediction of global solar radiation of Uyo City, Nigeria with atmospheric parameters

Advances in Applied Science Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


Prediction of monthly mean global solar radiation (GSR) based on atmospheric parameters, using Multi-layer perceptron (MLP) neural networks and an Angstrom-Prescott model has been studied. Monthly mean maximum temperature, relative humidity, sunshine hours, and cloud cover values between 1991 to 2007 for Uyo city-Nigeria (latitude 5o N, Longitude 5o E), were used in this study. The statistical analysis, Angstrom-Prescott model show that MBE=-2.05667, RMSE=4.17173 and MPE=15.4617 while that of ANN model are MBE=-0.12667, RMSE=0.26243 and MPE=0.69231. The low values of ANN model indicates reasonably strong correlation between ANN models prediction and measured values of global solar radiation for Uyo-Nigeria. The value R2 of ANN model show that 97.2% of is correct while R2 of Angstrom-Prescott model show that 74.5% is correct, therefore, ANN model is a better model for this prediction.

To read the full article Peer-reviewed Article PDF image

Author(s): Ibeh G F Agbo G A and Rabia S


Atmospheric parameters, ANN, Angstrom-Prescott, model, Global solar radiation., Atmospheric parameters

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us