A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model-Reference-Cited by-同舟云学术

A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model

Published:2019-07 Issue: Volume:178 Page:585-597
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Su Huai,Zio Enrico,Zhang Jinjun,Xu Mingjing,Li Xueyi,Zhang Zongjie

Funder

Natural Science Foundation of China

China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference42 articles.

1. How does a natural gas supply interruption affect the EU gas security? A Monte Carlo simulation;Flouri;Renew Sustain Energy Rev,2015

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

3. Forecasting natural gas: a literature survey;Tamba;Int J Energy Econ Policy,2018

4. Forecasting of natural gas consumption with artificial neural networks;Szoplik;Energy,2015

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

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