Comparison neural networks models for short term forecasting of natural gas consumption in Istanbul

@article{Kizilaslan2008ComparisonNN,
  title={Comparison neural networks models for short term forecasting of natural gas consumption in Istanbul},
  author={Recep Kizilaslan and Bekir Karlik},
  journal={2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)},
  year={2008},
  pages={448-453}
}
The aim of this study is to find a suitable natural gas energy forecasting model for daily and weekly values of Istanbul by using artificial neural networks(ANN). As it is known, accurate forecasting is important for both gas distributors and consumers. On the view point of distributors, with accurate forecasting the number of false alarms would be significantly decreased and trans ship limits would be scheduled. On the view point of consumers, there will be no disconnect and breakdown etc. In… CONTINUE READING

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