Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …
for energy consumption forecasting over the past decades. This paper reviews conventional …
A meta-analysis on the price elasticity of energy demand
X Labandeira, JM Labeaga, X López-Otero - Energy policy, 2017 - Elsevier
Price elasticities of energy demand have become increasingly relevant in estimating the
socio-economic and environmental effects of energy policies or other events that influence …
socio-economic and environmental effects of energy policies or other events that influence …
Forecasting of natural gas consumption with artificial neural networks
J Szoplik - Energy, 2015 - Elsevier
In this study, the results of forecasting of the gas demand obtained with the use of artificial
neural networks are presented. Design and training of MLP (multilayer perceptron model) …
neural networks are presented. Design and training of MLP (multilayer perceptron model) …
Forecasting China's natural gas demand based on optimised nonlinear grey models
Natural gas increasingly has become an important policy choice for China to modify its high
carbon energy consumption structure. Natural gas is a low carbon energy option for China's …
carbon energy consumption structure. Natural gas is a low carbon energy option for China's …
[HTML][HTML] Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China
X Ma, Z Liu - Journal of Computational and Applied Mathematics, 2017 - Elsevier
The government of China is now trying to use natural gas as partial substitute of other fuels,
such as coal and gasoline. Develo** the natural gas industry has been written in the 13th …
such as coal and gasoline. Develo** the natural gas industry has been written in the 13th …
A dynamic analysis on global natural gas trade network
JB Geng, Q Ji, Y Fan - Applied Energy, 2014 - Elsevier
This paper analyzes the evolution characteristics of the international natural gas trade
structure and the integration of the international natural gas market by using complex …
structure and the integration of the international natural gas market by using complex …
[HTML][HTML] Natural gas consumption forecasting using a novel two-stage model based on improved sparrow search algorithm
W Qiao, Q Ma, Y Yang, H **, N Huang, X Yang… - Journal of Pipeline …, 2025 - Elsevier
The foundation of natural gas intelligent scheduling is the accurate prediction of natural gas
consumption (NGC). However, its volatility, brings difficulties and challenges in accurately …
consumption (NGC). However, its volatility, brings difficulties and challenges in accurately …
Optimization for design and operation of natural gas transmission networks
H Üster, Ş Dilaveroğlu - Applied Energy, 2014 - Elsevier
We consider the problem of designing a new natural gas transmission network or expanding
an existing network while minimizing the total investment and operating costs. We develop …
an existing network while minimizing the total investment and operating costs. We develop …
Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network
X Hao, H An, H Qi, X Gao - Applied energy, 2016 - Elsevier
Different quality, reserves and production force countries to import fossil fuels to advance
their economic development. It is exergy of fossil fuels that is essentially important to …
their economic development. It is exergy of fossil fuels that is essentially important to …