Forecasting monthly gas field production based on the CNN-LSTM model

W Zha, Y Liu, Y Wan, R Luo, D Li, S Yang, Y Xu - Energy, 2022 - Elsevier
Accurate prediction of gas field production is an important task for reservoir engineers, which
is challenging due to many unknown reservoir parameters. Aiming to have a low-cost …

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

N Wei, C Li, X Peng, F Zeng, X Lu - Journal of Petroleum Science and …, 2019 - Elsevier
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of US

W Qiao, W Liu, E Liu - Energy, 2021 - Elsevier
The prediction model's performance in view of the wavelet transform (WT) is affected
because the wavelet basis function (WBF) and its orders and layers are determined …

Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

S Barak, SS Sadegh - International Journal of Electrical Power & Energy …, 2016 - Elsevier
Energy consumption is on the rise in developing economies. In order to improve present and
future energy supplies, forecasting energy demands is essential. However, lack of accurate …

Can China's energy intensity constraint policy promote total factor energy efficiency? Evidence from the industrial sector

S Shao, Z Yang, L Yang, S Ma - The Energy Journal, 2019 - journals.sagepub.com
As part of the country's efforts to achieve green development, China implemented a
mandatory energy intensity reduction target in its 11th “Five-Year Plan (FYP)” in 2006, and …

Natural gas consumption forecasting: A discussion on forecasting history and future challenges

J Liu, S Wang, N Wei, X Chen, H Xie, J Wang - Journal of Natural Gas …, 2021 - Elsevier
Natural gas consumption forecasting technology has been researched for 70 years. This
paper reviews the history of natural gas consumption forecasting, and discusses the …

Industry 4.0 and demand forecasting of the energy supply chain: A literature review

AR Nia, A Awasthi, N Bhuiyan - Computers & Industrial Engineering, 2021 - Elsevier
The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …

Forecasting China's natural gas demand based on optimised nonlinear grey models

F Shaikh, Q Ji, PH Shaikh, NH Mirjat, MA Uqaili - Energy, 2017 - Elsevier
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 …

[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. Developing the natural gas industry has been written in the 13th …

Does directed technological change get greener: empirical evidence from Shanghai's industrial green development transformation

S Shao, R Luan, Z Yang, C Li - Ecological indicators, 2016 - Elsevier
The degree of technological change biased to the environmental factor is crucial to industrial
sustainable development. Using the stochastic frontier analysis method based on the …