Daily means ambient temperature prediction using artificial neural network method: A case study of Turkey

Renewable Energy

Volumn 34, Issue 4, 2009, Pages 1158-1161

  Altan Dombayci, Ömer ^a   Gölcü, Mustafa ^a  

^a PAMUKKALE UNIVERSITY   (Turkey)

Author keywords

Ambient temperature; Artificial neural network; Prediction

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; FORECASTING; IMAGE CLASSIFICATION; MATLAB; MILITARY OPERATIONS; NEURAL NETWORKS; NEURONS; TEMPERATURE;

AMBIENT TEMPERATURE; AMBIENT TEMPERATURES; ANN MODELS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; CASE STUDIES; COMPUTER PROGRAMS; HIDDEN LAYER NEURONS; HIDDEN LAYERS; HIDDEN NEURONS; LEVENBERG-MARQUARDT; OPTIMAL NETWORK ARCHITECTURES; PREDICTION; RELIABLE MODELS; SQUARED ERRORS; TEMPERATURE VALUES; TESTING DATUMS; TRAINING ALGORITHMS; TRAINING DATUMS; TURKISHS;

NETWORK ARCHITECTURE;

AIR TEMPERATURE; ALGORITHM; ARTIFICIAL NEURAL NETWORK; SOFTWARE;

DENIZLI [TURKEY]; EURASIA; TURKEY;

EID: 56049113721     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2008.07.007     Document Type: Article

References (19)

1. Pariswad G.V., Bhardwaj R.K., and Nema V.K. Prediction of monthly-mean hourly relative humidity, ambient temperature, and wind velocity for India. Renewable Energy 13 3 (1998) 363-380
2. Abdel-Aal R.E. Hourly temperature forecasting using abductive networks. Engineering Applications of Artificial Intelligence 17 5 (2004) 543-556
3. Kalogirou S.A., and Bojic M. Artificial neural networks for the prediction of the energy consumption of a passive solar building. Energy 25 5 (1999) 479-491
4. George R.K. Prediction of soil temperature by using artificial neural networks algorithms. Nonlinear Analysis 47 3 (2001) 1737-1748
5. Soares J., Oliveira A.P., Boznar M.Z., Mlakar P., Escobedo J.F., and Machado A.J. Modeling hourly diffuse solar-radiation in the city of Sao Paulo using a neural-network technique. Applied Energy 79 2 (2003) 201-214
6. Yang I.H., and Kim K.W. Prediction of the time of room air temperature descending for heating systems in buildings. Building and Environment 39 1 (2004) 19-29
7. Nakhi A.E., and Mahmoud M.A. Cooling load prediction for buildings using general regression neural networks. Energy Conversion and Management 45 13-14 (2003) 2127-2141
8. Mikhalakakou G., Santamouris M., and Tsangrassoulis A. On the energy consumption in residential buildings. Energy and Buildings 34 7 (2001) 727-736
9. Huld T.A., Suri M., Dunlop E.D., and Micale F. Estimating average daytime and daily temperature profiles within Europe. Environmental Modeling & Software 21 (2006) 1650-1661
10. Sozen A., and Arcakli{dotless}oǧlu E. Solar potential in Turkey. Applied Energy 80 1 (2004) 35-45
11. Zhank G., and Patuwo E.B. Forecasting with artificial neural networks: the state of art. International Journal of Forecasting 14 1 (1997) 35-62
12. Kalogirou S.A. Applications of artificial neural-networks for energy systems. Applied Energy 67 1-2 (2000) 17-35
13. Golcu M., Sekmen Y., Erduranli{dotless} P., and Salman M.S. Artificial neural-network based modeling of variable valve-timing in a spark-ignition engine. Applied Energy 81 2 (2005) 187-197
14. Kalogirou S.A., Panteliou S., and Dentsoras A. Modeling of solar domestic water heating systems using artificial neural networks. Solar Energy 65 (1999) 335-342
15. Bechtler H., Browne M.W., Bansal P.K., and Kecman V. New approach to dynamic modeling of vapour-compression liquid chillers: artificial neural networks. Applied Energy 21 (2001) 941-953
16. Kalogirou S.A., and Panteliou S. Thermosiphon solar domestic water heating systems: long-term performance prediction using artificial neural networks. Solar Energy 69 (2000) 163-174
17. Mohandes M., Rehman S., and Halawani T.O. Estimation of global solar radiation using artificial neural networks. Renewable Energy 14 (1998) 179-184
18. Tsoukalas L.H., and Uhrig R.E. Fuzzy and neural approaches in engineering (1997), John Wiley&Sons, Inc., New York
19. Haykin S. Neural networks: a comprehensive foundation (1994), Macmillan, New York