Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm

Erosion simulation and improvement scheme of separator blowdown system ——A case study of Changning national shale gas demonstration area

(2021) Enbin Liu et al.   Journal of Natural Gas Science and Engineering

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

(2021) Weibiao Qiao et al.   ENERGY

Numerical simulation and simplified calculation method for heat exchange performance of dry air cooler in natural gas pipeline compressor station

(2020) Enbin Liu et al.   Energy Science & Engineering

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

(2020) Shanbi Peng et al.   Journal of Natural Gas Science and Engineering

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

(2019) Yun Bai et al.   JOURNAL OF CLEANER PRODUCTION

Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks

(2019) Oussama Laib et al.   ENERGY

Daily natural gas consumption forecasting via the application of a novel hybrid model

(2019) Nan Wei et al.   APPLIED ENERGY

Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine

(2019) Hongfang Lu et al.   Energy Reports

Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm

(2019) Weibiao Qiao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

(2018) Mayur Barman et al.   ENERGY

A novel self-adapting intelligent grey model for forecasting China's natural-gas demand

(2018) Song Ding   ENERGY

Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model

(2017) Ioannis P. Panapakidis et al.   ENERGY

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach

(2016) Yun Bai et al.   ENERGY AND BUILDINGS

A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy

(2016) Yongbo Li et al.   JOURNAL OF SOUND AND VIBRATION

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network

(2014) Feng Yu et al.   APPLIED ENERGY

Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm

(2014) Ergun Uzlu et al.   ENERGY

Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India

(2010) Ujjwal Kumar et al.   ENERGY

Natural gas demand in Turkey

(2009) Erkan Erdogdu   APPLIED ENERGY

An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments

(2009) A. Azadeh et al.   ENERGY POLICY