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Volumn 16, Issue 3, 2009, Pages 51-61

Predicting natural gas consumption by neural networks

Author keywords

Fuzzy variable; Multilayer perceptron; Natural gas consumption; Neural networks; Radial basis function network

Indexed keywords

ACTIVATION FUNCTIONS; CROATIANS; DATA SETS; EXOGENOUS VARIABLES; FEATURE SELECTION; FUZZY VARIABLE; GAS CONSUMPTION; GAS DISTRIBUTOR; HISTORICAL DATA; INPUT SPACE; MEAN ABSOLUTE PERCENTAGE ERROR; MULTI LAYER PERCEPTRON; NATURAL GAS CONSUMPTION; NEURAL NETWORK ALGORITHM; NEURAL NETWORK MODEL; OUTPUT VARIABLES; PREDICTION ACCURACY; PREDICTION MODEL; REGIONAL LEVELS; TEST SAMPLES;

EID: 70549099822     PISSN: 13303651     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (39)

References (15)
  • 1
    • 70549089014 scopus 로고    scopus 로고
    • Regulatori tlaka plina I regulacijske stanice
    • Zagreb
    • Šunić, M. Regulatori tlaka plina i regulacijske stanice, Energetika marketing, Zagreb, 2001.
    • (2001) Energetika Marketing
    • Šunić, M.1
  • 2
    • 5044251730 scopus 로고    scopus 로고
    • Forecasting total natural-gas consumption in spain by using the stochastic gompertz innovation diffusion model
    • Gutierrez, R.; Nafldi, A.; Gutierrez Sanchez, R. Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model, Applied Energy, 80 (2005), pp. 115-124.
    • (2005) Applied Energy , vol.80 , pp. 115-124
    • Gutierrez, R.1    Nafldi, A.2    Sanchez, G.R.3
  • 3
    • 0002715074 scopus 로고    scopus 로고
    • Forecasting the short-term demand for electricity - Do neural networks stand a better chance?
    • Darbellay, G. A.; Slama, M. Forecasting the short-term demand for electricity - Do neural networks stand a better chance?, International Journal of Forecasting, 16 (2000), pp. 71-83.
    • (2000) International Journal of Forecasting , vol.16 , pp. 71-83
    • Darbellay, G.A.1    Slama, M.2
  • 4
    • 3142641276 scopus 로고    scopus 로고
    • Forecasting daily urban electric load profiles using artificial neural networks
    • Beccali, M.; Cellura, M.; Lo Brano, V.; Marvuglia, A. Forecasting daily urban electric load profiles using artificial neural networks, Energy Conversion and Management, 45 (2004), pp. 2879-2900.
    • (2004) Energy Conversion and Management , vol.45 , pp. 2879-2900
    • Beccali, M.1    Cellura, M.2    Brano, L.V.3    Marvuglia, A.4
  • 5
    • 21444437355 scopus 로고    scopus 로고
    • Prediction of energy consumption and risk of excess demand in a distribution system
    • Thaler, M.; Grabec, I.; Poredos, A. Prediction of energy consumption and risk of excess demand in a distribution system, Physica A355 (2005), pp. 46-53.
    • (2005) Physica , vol.A355 , pp. 46-53
    • Thaler, M.1    Grabec, I.2    Poredos, A.3
  • 6
    • 78650519747 scopus 로고    scopus 로고
    • Ekonometrijsko modeliranje potražnje za plinom (econometric modelling of the gas demand)
    • Economic Review
    • Gelo, T. Ekonometrijsko modeliranje potražnje za plinom (Econometric modelling of the gas demand), Ekonomski pregled (Economic Review), 57, 1-2 (2006), pp. 80-96.
    • (2006) Ekonomski Pregled , vol.57 , Issue.1-2 , pp. 80-96
    • Gelo, T.1
  • 9
  • 10
    • 0037266090 scopus 로고    scopus 로고
    • Neural networks as statistical tools for business researchers
    • doi101177/1094428103251907
    • Detienne, K. B.; Detienne, D. H.; Joshi, S. A. Neural networks as statistical tools for business researchers. Organizational Research Methods, 2003; 6. doi.10.1177/1094428103251907, pp. 236-265.
    • (2003) Organizational Research Methods , vol.6 , pp. 236-265
    • Detienne, K.B.1    Detienne, D.H.2    Joshi, S.A.3
  • 11
    • 0028543030 scopus 로고
    • Artificial neural networks and their business applications
    • Li, E. Y. Artificial neural networks and their business applications. Information & Management, 27 (1994), pp. 303-313.
    • (1994) Information & Management , vol.27 , pp. 303-313
    • Li, E.Y.1
  • 13
    • 0031270611 scopus 로고    scopus 로고
    • Growing radial basis neural networks. Merging supervised nad unsupervised learning with network growth techniques
    • Karayiannis, N. B.; Weigun, G. M. Growing Radial Basis Neural Networks. Merging Supervised nad Unsupervised Learning with Network Growth Techniques. IEEE Transactions on Neural Networks, 8, 6 (1997), pp. 1492-1505.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.6 , pp. 1492-1505
    • Karayiannis, N.B.1    Weigun, G.M.2
  • 14
    • 70549096961 scopus 로고    scopus 로고
    • HEPPlinLtd., Aboutus Onama, 28.08
    • HEPPlinLtd., Aboutus (Onama), http://www.hep. hr/plin/onama/default.aspx, 28.08. 2009.
    • (2009)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.