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1
A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model
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A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model

Energy (Oxford), 2019-07, Vol.178, p.585-597 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0360-5442 ;EISSN: 1873-6785 ;DOI: 10.1016/j.energy.2019.04.167

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2
A Novel Hybrid Prediction Model for Hourly Gas Consumption in Supply Side Based on Improved Whale Optimization Algorithm and Relevance Vector Machine
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A Novel Hybrid Prediction Model for Hourly Gas Consumption in Supply Side Based on Improved Whale Optimization Algorithm and Relevance Vector Machine

IEEE access, 2019, Vol.7, p.88218-88230 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2918156 ;CODEN: IAECCG

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3
Modeling insights from the Austrian national gas grid under declining natural gas demand and increasing domestic renewable gas generation by 2040
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Modeling insights from the Austrian national gas grid under declining natural gas demand and increasing domestic renewable gas generation by 2040

Energy reports, 2024-06, Vol.11, p.1302-1317 [Peer Reviewed Journal]

ISSN: 2352-4847 ;EISSN: 2352-4847 ;DOI: 10.1016/j.egyr.2023.12.064

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4
A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case
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A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case

Environmental science and pollution research international, 2022-10, Vol.29 (47), p.71676-71687 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-022-20861-3 ;PMID: 35606584

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5
The Unprecedented Natural Gas Crisis in Europe: Investigating the Causes and Consequences with a Focus on Italy
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The Unprecedented Natural Gas Crisis in Europe: Investigating the Causes and Consequences with a Focus on Italy

Energies (Basel), 2023-08, Vol.16 (16), p.5954 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en16165954

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6
From traditional to modern methods: Comparing and introducing the most powerful model for forecasting the residential natural gas demand
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From traditional to modern methods: Comparing and introducing the most powerful model for forecasting the residential natural gas demand

Energy reports, 2022-11, Vol.8, p.14699-14715 [Peer Reviewed Journal]

2022 The Authors ;ISSN: 2352-4847 ;EISSN: 2352-4847 ;DOI: 10.1016/j.egyr.2022.10.397

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7
Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China
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Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China

Energies (Basel), 2023-05, Vol.16 (11), p.4268 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en16114268

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8
Investigating the Natural Gas Demand Function in the Home Sector of Khuzestan Province: An Almost Ideal Demand System
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Investigating the Natural Gas Demand Function in the Home Sector of Khuzestan Province: An Almost Ideal Demand System

Pizhūhishnāmah-i iqtiṣād-i inirzhī-i Īrān (Online), 2019-09, Vol.8 (32), p.75-98 [Peer Reviewed Journal]

ISSN: 2423-5954 ;EISSN: 2476-6437 ;DOI: 10.22054/jiee.2021.53479.1761

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9
THE IMPACT OF NATURAL GAS DEMAND ON RENEWABLE ENERGY DEVELOPMENT: A PANEL INVESTIGATION OF SIX ASIAN COUNTRIES
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THE IMPACT OF NATURAL GAS DEMAND ON RENEWABLE ENERGY DEVELOPMENT: A PANEL INVESTIGATION OF SIX ASIAN COUNTRIES

Jurnal ekonomi & studi pembangunan (Yogyakarta. Online), 2019-04, Vol.20 (1), p.71-88 [Peer Reviewed Journal]

ISSN: 1411-9900 ;EISSN: 2541-5506 ;DOI: 10.18196/jesp.20.1.5015

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10
Price Responsiveness of Residential Demand for Natural Gas in the United States
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Price Responsiveness of Residential Demand for Natural Gas in the United States

Energies (Basel), 2022-06, Vol.15 (12), p.4231 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en15124231

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11
Welfare and Distributional Implications of Shale Gas
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Article
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Welfare and Distributional Implications of Shale Gas

Brookings papers on economic activity, 2015-04, Vol.2015 (1), p.71-125 [Peer Reviewed Journal]

Copyright © 2015 THE BROOKINGS INSTITUTION ;Copyright © 2008 The Brookings Institution. ;Copyright Brookings Institution Press Spring 2015 ;ISSN: 0007-2303 ;ISSN: 1533-4465 ;EISSN: 1533-4465 ;DOI: 10.1353/eca.2016.0001 ;CODEN: BPEAD5

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12
Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting
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Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting

Energies (Basel), 2018, Vol.11 (7), p.1625 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11071625

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13
Long-term price and income elasticity of residential natural gas demand in Turkey
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Long-term price and income elasticity of residential natural gas demand in Turkey

Theoretical and applied economics, 2022-03, Vol.XXIX (1), p.101-122

ISSN: 1841-8678 ;EISSN: 1844-0029

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14
Demand Response Analogues for Residential Loads in Natural Gas Networks
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Demand Response Analogues for Residential Loads in Natural Gas Networks

IEEE access, 2021, Vol.9, p.161978-161990 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3132614 ;CODEN: IAECCG

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15
How did the price and income elasticities of natural gas demand in China evolve from 1999 to 2015? The role of natural gas price reform
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How did the price and income elasticities of natural gas demand in China evolve from 1999 to 2015? The role of natural gas price reform

Petroleum science, 2019-06, Vol.16 (3), p.685-700 [Peer Reviewed Journal]

The Author(s) 2019 ;Copyright Springer Nature B.V. 2019 ;ISSN: 1672-5107 ;EISSN: 1995-8226 ;DOI: 10.1007/s12182-019-0320-z

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16
International Natural Gas Market Integration
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Article
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International Natural Gas Market Integration

The Energy journal (Cambridge, Mass.), 2014-10, Vol.35 (4), p.159-179 [Peer Reviewed Journal]

Copyright © 2014 International Association for Energy Economics ;The Author(s) ;COPYRIGHT 2014 Sage Publications Ltd. (UK) ;Copyright International Association for Energy Economics 2014 ;ISSN: 0195-6574 ;EISSN: 1944-9089 ;DOI: 10.5547/01956574.35.4.7

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17
The Role of Natural Gas in a Low-Carbon Europe: Infrastructure and Supply Security
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The Role of Natural Gas in a Low-Carbon Europe: Infrastructure and Supply Security

The Energy journal (Cambridge, Mass.), 2016-12, Vol.37 (SI37), p.33-59 [Peer Reviewed Journal]

Copyright © 2016 International Association for Energy Economics ;The Author(s) ;COPYRIGHT 2016 Sage Publications Ltd. (UK) ;Copyright International Association for Energy Economics 2016 ;ISSN: 0195-6574 ;EISSN: 1944-9089 ;DOI: 10.5547/01956574.37.SI3.fhol

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18
APSO-LSTM model based on improved Tent mapping for natural gas demand forecasting
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Article
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APSO-LSTM model based on improved Tent mapping for natural gas demand forecasting

You-qi chuyun, 2023-06, Vol.41 (6), p.702-712 [Peer Reviewed Journal]

ISSN: 1000-8241 ;DOI: 10.6047/j.issn.1000-8241.2023.06.012

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19
Comparative Analysis of Two Methods of Natural Gas Demand Forecasting
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Comparative Analysis of Two Methods of Natural Gas Demand Forecasting

IOP conference series. Earth and environmental science, 2021-01, Vol.632 (3), p.32033 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;ISSN: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/632/3/032033

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20
Modeling and scenario prediction of a natural gas demand system based on a system dynamics method
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Modeling and scenario prediction of a natural gas demand system based on a system dynamics method

Petroleum science, 2018-11, Vol.15 (4), p.912-924 [Peer Reviewed Journal]

The Author(s) 2018 ;Copyright Springer Science & Business Media 2018 ;ISSN: 1672-5107 ;EISSN: 1995-8226 ;DOI: 10.1007/s12182-018-0269-3

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