Day-ahead high-resolution forecasting of natural gas demand and supply in Germany with a hybrid model-Reference-Cited by-同舟云学术

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Day-ahead high-resolution forecasting of natural gas demand and supply in Germany with a hybrid model

Published:2020-03 Issue: Volume:262 Page:114486
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chen Ying,Xu Xiuqin,Koch Thorsten

Funder

Singapore Ministry of Education Academic Research Fund Tier 1 at National University of Singapore and the Research Campus MODAL

German Federal Ministry of Education and Research

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference28 articles.

1. British Petroleum Company. BP statistical review of world energy 2019. BP World Energy; 2019.

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

3. Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia;Potočnik;Appl Energy,2014

4. Forecasting of daily natural gas consumption on regional basis in Turkey using various computational methods;Taşpınar;Energy Build,2013

5. An adaptive functional autoregressive forecast model to predict electricity price curves;Chen;J Bus Econ Stat,2017

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