Related references
Note: Only part of the references are listed.US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model
Hongfang Lu et al.
ENERGY (2020)
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
Weibiao Qiao et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Managing natural gas demand for free consumers under uncertainty and limited storage capacity
Esra Agca Aktunc et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2020)
Integration of weather forecast and artificial intelligence for a short-term city-scale natural gas consumption prediction
Aleksandar S. Andelkovic et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Analysis of Bus Trip Characteristic Analysis and Demand Forecasting Based on GA-NARX Neural Network Model
Feng Sun et al.
IEEE ACCESS (2020)
Short-Term Forecasting of Natural Gas Consumption Using Factor Selection Algorithm and Optimized Support Vector Regression
Nan Wei et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2019)
Forecasting annual natural gas consumption using socio-economic indicators for making future policies
Doruk Sen et al.
ENERGY (2019)
Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks
Oussama Laib et al.
ENERGY (2019)
A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model
Huai Su et al.
ENERGY (2019)
Daily natural gas consumption forecasting via the application of a novel hybrid model
Nan Wei et al.
APPLIED ENERGY (2019)
A method for natural gas forecasting and preliminary allocation based on unique standard natural gas consumption profiles
J. Ravnik et al.
ENERGY (2019)
Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine
Hongfang Lu et al.
ENERGY REPORTS (2019)
Analysis of Methods and Techniques for Prediction of Natural Gas Consumption: A Literature Review
Dario Sebalj et al.
JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES (2019)
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Omer Faruk Beyca et al.
ENERGY ECONOMICS (2019)
Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach
Mehdi Seyedmahmoudian et al.
ENERGIES (2018)
The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis
Jian Chai et al.
ENERGY POLICY (2018)
Natural gas consumption of urban households in China and corresponding influencing factors
Guixian Liu et al.
ENERGY POLICY (2018)
Deep learning with long short-term memory networks for financial market predictions
Thomas Fischer et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
A novel self-adapting intelligent grey model for forecasting China's natural-gas demand
Song Ding
ENERGY (2018)
Forecasting China's Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method
Gejirifu De et al.
ENERGIES (2018)
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks
Zainab Abbas et al.
2018 IEEE INTERNATIONAL CONGRESS ON BIG DATA (IEEE BIGDATA CONGRESS) (2018)
Natural gas consumption forecast with MARS and CMARS models for residential users
Ayse Ozmen et al.
ENERGY ECONOMICS (2018)
Performance Comparison between ARIMAX, ANN and ARIMAX-ANN Hybridization in Sales Forecasting for Furniture Industry
Melih Yucesan et al.
DRVNA INDUSTRIJA (2018)
Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey
Mustafa Akpinar et al.
ENERGIES (2017)
Breeder hybrid algorithm approach for natural gas demand forecasting model
Yusuf Karadede et al.
ENERGY (2017)
Short-term load forecasting using a two-stage sarimax model
Agostino Tarsitano et al.
ENERGY (2017)
Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model
Ioannis P. Panapakidis et al.
ENERGY (2017)
Application of Artificial Neural Networks Using Bayesian Training Rule in Sales Forecasting for Furniture Industry
Melih Yucesan et al.
DRVNA INDUSTRIJA (2017)
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Xiaolei Ma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index
A. Jalalkamali et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2015)
Deep greenhouse gas emission reductions in Europe: Exploring different options
Sebastiaan Deetman et al.
ENERGY POLICY (2013)
Energy models for demand forecasting-A review
L. Suganthi et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2012)
Predicting the Natural Gas Demand Based on Economic Indicators: Case of Turkey
M. Toksari
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2010)
A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments
Alev Taskin Gumus et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2010)
Energy, economy, environment and sustainable development in the Middle East and North Africa
M. R. Riazi
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY (2010)
Investigating the Variability in Daily Traffic Counts Through Use of ARIMAX and SARIMAX Models Assessing the Effect of Holidays on Two Site Locations
Mario Cools et al.
TRANSPORTATION RESEARCH RECORD (2009)
Automatic time series forecasting: The forecast package for R
Rob J. Hyndman et al.
JOURNAL OF STATISTICAL SOFTWARE (2008)
Global oil demand and role of chemical EOR methods in the 21st century
Istvan Lakatos et al.
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY (2008)
Modeling and forecasting industrial end-use natural gas consumption
Eugenio Fco. Sanchez-Ubeda et al.
ENERGY ECONOMICS (2007)
ARIMA forecasting of primary energy demand by fuel in Turkey
Volkan S. Ediger et al.
ENERGY POLICY (2007)
Progress in developing an ANN model for air pollution index forecast
DH Jiang et al.
ATMOSPHERIC ENVIRONMENT (2004)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Combination of artificial neural-network forecasters for prediction of natural gas consumption
A Khotanzad et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)