Forecasting daily natural gas consumption with regression, time series and machine learning based methods-Reference-Cited by-同舟云学术

Forecasting daily natural gas consumption with regression, time series and machine learning based methods

Published:2021-01-21 Issue: Volume: Page:1-16
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Yucesan Melih¹^ORCID,Pekel Engin²^ORCID,Celik Erkan³^ORCID,Gul Muhammet⁴^ORCID,Serin Faruk⁵^ORCID

Affiliation:

1. Department of Mechanical Engineering, Munzur University, Tunceli, Turkey

2. Department of Industrial Engineering, Hitit University, Çorum, Turkey

3. Department of Transportation and Logistics, İstanbul University, İstanbul, Turkey

4. Department of Emergency Aid and Disaster Management, Munzur University, Tunceli, Turkey

5. Department of Computer Engineering, Munzur University, Tunceli, Turkey

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1875082

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