Forecasting natural gas consumption

被引：169

作者：

Soldo, Bozidar ^{[1
]}

机构：

[1] HEP Plin Ltd, HR-31000 Osijek, Croatia

来源：

APPLIED ENERGY | 2012年 / 92卷

关键词：

Forecasting natural gas consumption; Predicting natural gas demand; Natural gas forecasting models; ENERGY-CONSUMPTION; NEURAL-NETWORK; RESIDENTIAL CONSUMPTION; STATISTICAL-MODEL; DEMAND; PREDICTION; COMBINATION; ELECTRICITY; FUTURE; RISK;

D O I：

10.1016/j.apenergy.2011.11.003

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Publishing papers in the area of forecasting natural gas consumption has begun in the middle of last century and led to a tremendous surge in research activities in the past decade. This paper presents a state-of-the-art survey of forecasting natural gas consumption. Purpose of this paper is to provide analysis and synthesis of published research in this area from beginning to the end of 2010, insights on applied area, used data, models and tools to achieve usable results, in order to be helpful base for future researchers. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：26 / 37

页数：12

共 50 条

[41] Daily natural gas consumption forecasting via the application of a novel hybrid model
Wei, Nan
Li, Changjun
Peng, Xiaolong
Li, Yang
Zeng, Fanhua
[J]. APPLIED ENERGY, 2019, 250 : 358 - 368
[42] Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Beyca, Omer Faruk
Ervural, Beyzanur Cayir
Tatoglu, Ekrem
Ozuyar, Pinar Gokcin
Zaim, Selim
[J]. ENERGY ECONOMICS, 2019, 80 : 937 - 949
[43] Improving the residential natural gas consumption forecasting models by using solar radiation
Soldo, Bozidar
Potocnik, Primoz
Simunovic, Goran
Saric, Tomislav
Govekar, Edvard
[J]. ENERGY AND BUILDINGS, 2014, 69 : 498 - 506
[44] Data complexity of daily natural gas consumption: Measurement and impact on forecasting performance
Wei, Nan
Yin, Lihua
Li, Chao
Liu, Jinyuan
Li, Changjun
Huang, Yuanyuan
Zeng, Fanhua
[J]. ENERGY, 2022, 238
[45] Forecasting Natural Gas Consumption using ARIMA Models and Artificial Neural Networks
Cardoso, C. V.
Cruz, G. L.
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (05) : 2233 - 2238
[46] Forecasting models for daily natural gas consumption considering periodic variations and demand segregation
Yukseltan, Ergun
Yucekaya, Ahmet
Bilge, Ayse Humeyra
Aktunc, Esra Agca
[J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2021, 74
[47] Comparison Neural Networks Models for Short Term Forecasting of Natural Gas Consumption in Istanbul
Kizilaslan, Recep
Karlik, Bekir
[J]. 2008 FIRST INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES, VOLS 1 AND 2, 2008, : 455 - +
[48] A mathematical modeling for incorporating energy price hikes into total natural gas consumption forecasting
Dalfard, V. Majazi
Asli, M. Nazari
Asadzadeh, S. M.
Sajjadi, S. M.
Nazari-Shirkouhi, A.
[J]. APPLIED MATHEMATICAL MODELLING, 2013, 37 (08) : 5664 - 5679
[49] Forecasting Household Natural Gas Consumption with ARIMA Model: A Case Study of Removing Cycle
Akpinar, Mustafa
Yumusak, Nejat
[J]. 2013 7TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2013, : 319 - 324
[50] Forecasting yearly natural gas consumption using Artificial Neural Netwok for the Algerian Market
Laib, Oussama
Khadir, Mohamed Tarek
Chouireb, Lakhdar
[J]. 2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2016,

← 1 2 3 4 5 →