Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model

被引:95
|
作者
Gutiérrez, R [1 ]
Nafidi, A [1 ]
Sánchez, RG [1 ]
机构
[1] Univ Granada, Fac Ciencias, Dept Stat & Operat Res, Granada 18071, Spain
关键词
stochastic Gompertz; logistic and lognormal models; natural-gas consumption; estimation and prediction;
D O I
10.1016/j.apenergy.2004.03.012
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
The principal objective of the present study is to examine the possibilities of using a Gompertz-type innovation diffusion process as a stochastic growth model of natural-gas consumption in Spain, and to compare our results with those obtained, on the one hand, by stochastic logistic innovation modelling and, on the,other, by using a stochastic lognormal growth model based on a non-innovation diffusion process. Such a comparison is carried out taking into account the macroeconomic characteristics and natural-gas consumption patterns in Spain, both of which reflect the current expansive situation characterizing the Spanish economy. From the technical standpoint a contribution is also made to the theory of the stochastic Gompertz Innovation diffusion process (SGIDP), as applied to the case in question.(C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:115 / 124
页数:10
相关论文
共 50 条
  • [31] Artificial Neural Network Conventional Fusion Forecasting Model for Natural Gas Consumption
    Pradhan, Prabodh Kumar
    Dhal, Sunil
    Kamila, Nilayam Kumar
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 2200 - 2205
  • [32] Daily natural gas consumption forecasting via the application of a novel hybrid model
    Wei, Nan
    Li, Changjun
    Peng, Xiaolong
    Li, Yang
    Zeng, Fanhua
    APPLIED ENERGY, 2019, 250 : 358 - 368
  • [33] Innovative grey multivariate prediction model for forecasting Chinese natural gas consumption
    Hu, Zhiming
    Jiang, Tao
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 103 : 384 - 392
  • [34] A novel grey model with fractional reverse accumulation for forecasting natural gas consumption
    Wang, Huiping
    Zhang, Zhun
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 179
  • [35] The development trend of China's natural gas consumption: A forecasting viewpoint based on grey forecasting model
    Zhang, Jun
    Qin, Yanping
    Duo, Huaqiong
    ENERGY REPORTS, 2021, 7 : 4308 - 4324
  • [36] A novel self-adapting intelligent grey model for forecasting China's natural-gas demand
    Ding, Song
    ENERGY, 2018, 162 : 393 - 407
  • [37] 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
    ENERGY ECONOMICS, 2019, 80 : 937 - 949
  • [38] Forecasting Natural Gas Consumption using ARIMA Models and Artificial Neural Networks
    Cardoso, C. V.
    Cruz, G. L.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (05) : 2233 - 2238
  • [39] Improving the residential natural gas consumption forecasting models by using solar radiation
    Soldo, Bozidar
    Potocnik, Primoz
    Simunovic, Goran
    Saric, Tomislav
    Govekar, Edvard
    ENERGY AND BUILDINGS, 2014, 69 : 498 - 506
  • [40] SIMPLIFIED KINETIC-MODEL OF THE CHEMISTRY IN THE REBURNING ZONE USING NATURAL-GAS
    BILBAO, R
    ALZUETA, MU
    MILLERA, A
    DUARTE, M
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1995, 34 (12) : 4540 - 4548