Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach-Reference-Cited by-同舟云学术

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Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach

Published:2016-09 Issue: Volume:127 Page:571-579
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Bai Yun,Li Chuan

Funder

Key Project of University Natural Science Research of Anhui

National Natural Science Foundation of China

Project of Chongqing Science and Technology Commission

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference43 articles.

1. Forecasting natural gas consumption;Soldo;Appl. Energy,2012

2. Natural gas demand in Turkey;Erdogdu;Appl. Energy,2010

3. Time series models (Grey-Markov: Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India;Kumar;Energy,2010

4. An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: uncertain and complex environments;Azadeh;Energy Policy,2010

5. Scenario analysis of nonresidential natural gas consumption in Italy;Bianco;Appl. Energy,2014

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