IMPROVING TURKEY'S NATURAL GAS DEMAND FORECASTS: A DATA ANALYTICS APPROACH
Öz
Anahtar Kelimeler
Kaynakça
- Aras, H., Aras, N. 2004 “Forecasting Residential Natural Gas Demand”, Energy Sources, 26(5), 463-472.
- Aydin, G. 2015 “The Modeling and Projection of Primary Energy Consumption by The Sources”, Energy Sources A, 10(1), 67-74.
- Azadeh, A., Zarrin, M., Beik, H.R. and Bioki, T.A. 2015 “A Neuro-Fuzzy Algorithm for Improved Gas Consumption Forecasting with Economic, Environmental And IT/IS Indicators”, Journal of Petroleum Science and Engineering, 133, 716-739.
- Balestra, P. and Nerlove, M. 1966 “Pooling Cross Section and Time Series Data in The Estimation of a Dynamic Model: The Demand for Natural Gas”, Econometrica (pre-1986), 34(3): 585.
- Baltagi, B. H., Bresson, G.and Pirotte, A. 2002 “Comparison of Forecast Performance for Homogeneous, Heterogeneous and Shrinkage Estimators: Some Empirical Evidence from US Electricity and Natural-Gas Consumption”, Economics Letters, 76(3): 375-382.
- Beccali M, Cellura, M., Brano, V. L. and Marvuglia, A. 2004 “Forecasting Daily Urban Electric Load Profiles Using Artificial Neural Networks”, Energy Conversion And Management, 45(18-19): 2879-2900.
- Berndt, E. R. and Watkins, G. C. 1977 “Demand for Natural Gas: Residential and Commercial Markets in Ontario and British Columbia”, Canadian Journal of Economics, 97-111.
- Demirel, Ö. F., Zaim, S., Çalişkan, A. and Özuyar, P. 2012 “Forecasting Natural Gas Consumption in Istanbul Using Neural Networks and Multivariate Time Series Methods”, Turkish Journal of Electrical Engineering & Computer Sciences, 20(5): 695-711.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Politika ve Yönetim (Diğer)
Bölüm
Araştırma Makalesi
Yazarlar
Ezgi Avcı
*
0000-0002-9826-1027
Türkiye
Erken Görünüm Tarihi
17 Ekim 2023
Yayımlanma Tarihi
14 Ekim 2023
Gönderilme Tarihi
6 Temmuz 2023
Kabul Tarihi
11 Eylül 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 21 Sayı: 3