Black Sea Journal of Engineering and Science

Yazarlar: Bedia KANT, Mehmet Serhat ODABAS

Konular:Mühendislik

DOI:10.34248/bsengineering.740760

Anahtar Kelimeler:Artificial neural networks,Demand forecast,Natural gas

Özet: Demand forecasting is the estimation of how much goods and services the consumer will request in the future. The purpose of this study is to investigate how demand forecasting Works are done in the natural gas sector by using artificial neural Networks in the literature. As it is known, we follow a foreign-dependent policy in terms of natural gas supply. Today, it has an important position among natural gas anergy sources due to its stragetic and commercial advantages. Demand forecasting in the natural gas sector is of great stragetic importance, both in terms of investment planning and economics. In terms of natural gas, adhering to foreign countries is important in terms of determining the amount of gas to be bought and prices.

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