Prediction of Residual Gas Consumption using Temperature and Population of ConsumersUse case : Residual Consumers of Karaj

Subject Areas : Journal of New Applied and Computational Findings in Mechanical Systems

Masoud Akbari ¹ , Mahdi Asghari ² , Aliakbar Imami Satlou ³ , Parham Davari ⁴ , Shahnaz Salamat Thani ⁵ , Nahid Taherian ⁶ , Mansour Gholinejda ⁷

1 - Data Analyst at Daiottech (at Bontech Holding Innovation Center)
2 - Data Analyst at Daiottech (at Bontech Holding Innovation Center)
3 - Head of Gas Consumption Optimization Alborz Province Gas Company
4 - Data Analyst at Daiottech (at Bontech Holding Innovation Center)
5 - Responsible for application systems Alborz Province Gas Company
6 - Head of Daiottech (at Bontech Holding Innovation Center)
7 - Research Director Alborz Province Gas Company

Received: 2022-06-09 Accepted : 2022-09-10 Published : 2022-08-23

Keywords: Natural gas, Natural Gas Consumption Prediction, Regression, Residential Consumers,

Abstract :

Natural gas has a vital role as energy supplier in Iranian residual regions. According to reports of manager of dispatching department of National Iranian Gas Company, residual consumers had a share of 70 percentage of all manufactured natural gas, on cold days of 2021. Also about 88 percentage of the country's electricity is supplied by fossil fuels, based on the report of Water and Electricity Industry. All of these statistics warn us about the importance of residential gas management. In this article, a nonlinear regression model was produced based on temperature and population of residential consumers in different periods of year. Also consumptions of residential consumers of Karaj city used to evaluate performance of the model. Results show that there is a meaningful correlation between selected features and consumed amount of natural gas that can help us to predict consumption more accurate in future.