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

Effects of permeable plugs on wellbore strengthening

(2020) Yang Liu et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Daily Natural Gas Load Forecasting Based on a Hybrid Deep Learning Model

(2019) Nan Wei et al.   Energies

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

(2019) Oussama Laib et al.   ENERGY

A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model

(2019) Huai Su et al.   ENERGY

Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States

(2019) Qiang Wang et al.   ENERGY

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

(2019) Nan Wei et al.   APPLIED ENERGY

Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand

(2019) Reza Hafezi et al.   Energies

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

(2019) Nan Wei et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Mechanics of Hydraulic-Fracture Growth from a Wellbore Intersecting Natural Fractures

(2019) Yang Liu et al.   SPE JOURNAL

Analysis of particle deposition in a new‐type rectifying plate system during shale gas extraction

(2019) Shanbi Peng et al.   Energy Science & Engineering

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

Deep neural network in QSAR studies using deep belief network

(2018) Fahimeh Ghasemi et al.   APPLIED SOFT COMPUTING

The rise of deep learning in drug discovery

(2018) Hongming Chen et al.   DRUG DISCOVERY TODAY

Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting

(2018) Guo-Feng Fan et al.   Energies

Short term electricity load forecasting using a hybrid model

(2018) Jinliang Zhang et al.   ENERGY

Intelligent techniques for forecasting electricity consumption of buildings

(2018) K.P. Amber et al.   ENERGY

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

(2018) Yun Bai et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †

(2018) Gregory Merkel et al.   Energies

A comparison of models for forecasting the residential natural gas demand of an urban area

(2018) Rok Hribar et al.   ENERGY

Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey

(2017) Mustafa Akpinar et al.   Energies

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

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

(2017) Zeyu Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting

(2016) Guohua Cao et al.   ENERGY

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

(2016) Yun Bai et al.   ENERGY AND BUILDINGS

China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

Short-term natural gas demand prediction based on support vector regression with false neighbours filtered

(2015) L. Zhu et al.   ENERGY

Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia

(2014) Primož Potočnik et al.   APPLIED ENERGY

Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West

(2014) F.M. Andersen et al.   APPLIED 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

Long term forecasting of hourly electricity consumption in local areas in Denmark

(2013) F.M. Andersen et al.   APPLIED ENERGY

Improving the residential natural gas consumption forecasting models by using solar radiation

(2013) Božidar Soldo et al.   ENERGY AND BUILDINGS

Optimum estimation and forecasting of renewable energy consumption by artificial neural networks

(2013) A. Azadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting of daily natural gas consumption on regional basis in Turkey using various computational methods

(2012) Fatih Taşpınar et al.   ENERGY AND BUILDINGS

Multiple regression model for fast prediction of the heating energy demand

(2012) Tiberiu Catalina et al.   ENERGY AND BUILDINGS

A neuro-fuzzy-multivariate algorithm for accurate gas consumption estimation in South America with noisy inputs

(2012) Ali Azadeh et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network

(2012) Kanna Bhaskar et al.   IEEE Transactions on Sustainable Energy

A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE

(2011) A. Azadeh et al.   APPLIED ENERGY

Forecasting natural gas consumption

(2011) Božidar Soldo   APPLIED ENERGY

Forecasting of Coal Consumption Using an Artificial Neural Network and Comparison with Various Forecasting Techniques

(2011) S. Jebaraj et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Forecasting China's natural gas consumption based on a combination model

(2010) Gang Xu et al.   Journal of Natural Gas Chemistry

Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming

(2010) Yi-Shian Lee et al.   KNOWLEDGE-BASED SYSTEMS

Short-term wind power forecasting in Portugal by neural networks and wavelet transform

(2010) J.P.S. Catalão et al.   RENEWABLE ENERGY

Electricity demand load forecasting of the Hellenic power system using an ARMA model

(2009) S.Sp. Pappas et al.   ELECTRIC POWER SYSTEMS RESEARCH