Comparison and prediction of monthly average solar radiation data using soft computing approach for eastern India

Smart Innovation, Systems and Technologies

Volumn 33, Issue , 2015, Pages 317-326

  Mohanty, Sthitapragyan ^a   Patra, Prashanta Kumar ^a   Sahoo, Sudhansu S ^a  

^a Biju Patnaik University of Technology   (India)

Author keywords

ANFIS; MLP; RBF; Solar radiation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; FUZZY INFERENCE; FUZZY SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SOFT COMPUTING; SUN;

ANFIS; MLP; MULTI LAYER PERCEPTRON; NEURO-FUZZY INFERENCE SYSTEMS; RADIAL BASIS FUNCTION(RBF); RBF; SOFT COMPUTING APPROACHES; SOLAR RADIATION DATA;

SOLAR RADIATION;

EID: 84920059638     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-81-322-2202-6_28     Document Type: Conference Paper

References (12)

1. Medugu, D.W., Yakubu, D.: Estimation of mean monthly global solar radiation in Yola. Nigeria using angstrom model. Adv. Appl. Sci. Res. 2, 414–421 (2011)
2. Kumar, R., Aggrawal, R.K., Sharma, J.D.: New regression model to estimate global solar radiation using artificial neural network. Adv. Energy Eng. 1, 66–73 (2013)
3. Ahmed, A., El-Nouby, M.: Estimate of global solar radiation by using artificial neural network in Qena, Upper Egypt. J. Clean Energy Technol. 1, 148–150 (2013)
4. Benghanem, M., Mellit, A.: Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at AI-Madinah, Saudi Arabia. Energy 35, 3751–3762 (2010)
5. Rehman, S., Mohandes, M.: Artificial neural network estimation of global solar radiation using air temperature and relative humidity. Energy Policy 36, 571–577 (2008)
6. Mohandes, M., Balghonaim, A., Rehman, S.: Use of radial basis functions for estimating monthly mean daily solar radiation. Sol. Energy 68, 161–169 (2000)
7. Mellit, A., Hadj Arab, A., Shaari, S.: An ANFIS based prediction for monthly clearness index and daily solar radiation. Application for sizing of a stand-alone photovoltaic system. J. Phys. Sci. 18, 15–35 (2007)
8. Sumithira, T.R.: An adaptive neuro-fuzzy inference system (ANFIS) based prediction of solar radiation. J. Appl. Sci. Res. 8, 346–351 (2012)
9. Rahoma, W.A., Hassan, A.H.: Application of neuro-fuzzy techniques for solar radiation. J. Comput. Sci. 7, 1605–1611 (2011)
10. Falayi, E.O., Adepitan, J.O., Rabiu, A.B.: Empirical models for the correlation of global solar radiation with meteorological data for Iselin. Nigeria. Int. J. Phys. Sci. 3, 210–216 (2008)
11. Solar Radiation Handbook 2008
12. http://rsd.gsfc.nasa.gov/rsd/remotessensing.html