Forecasting Natural Gas Production and Consumption in United States-Evidence from SARIMA and SARIMAX Models

Forecasting daily natural gas consumption with regression, time series and machine learning based methods

(2021) Melih Yucesan et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

The environmental Kuznets curve hypothesis for Bangladesh: the importance of natural gas, liquefied petroleum gas, and hydropower consumption

(2021) Muntasir Murshed et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

IndoorSense: context based indoor pollutant prediction using SARIMAX model

(2021) Joy Dutta et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Application of the artificial intelligence GANNATS model in forecasting crude oil demand for Saudi Arabia and China

(2021) Saud M. Al-Fattah   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

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

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

Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets

(2021) Harald Kinateder et al.   Finance Research Letters

Day-ahead high-resolution forecasting of natural gas demand and supply in Germany with a hybrid model

(2020) Ying Chen et al.   APPLIED ENERGY

A novel improved model for building energy consumption prediction based on model integration

(2020) Ran Wang et al.   APPLIED ENERGY

US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model

(2020) Hongfang Lu et al.   ENERGY

Greenhouse gas emissions, non-renewable energy consumption, and output in South America: the role of the productive structure

(2020) Qiushi Deng et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Forecasting day-ahead natural gas demand in Denmark

(2020) Orhan Altuğ Karabiber et al.   Journal of Natural Gas Science and Engineering

Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower

(2020) Hongfang Lu et al.   ENERGY

Monthly natural gas demand forecasting by adjusted seasonal grey forecasting model

(2020) Huseyin Avni Es   Energy Sources Part A-Recovery Utilization and Environmental Effects

Integration of weather forecast and artificial intelligence for a short-term city-scale natural gas consumption prediction

(2020) Aleksandar S. Anđelković et al.   JOURNAL OF CLEANER PRODUCTION

Comparative study of week-ahead forecasting of daily gas consumption in buildings using regression ARMA/SARMA and genetic-algorithm-optimized regression wavelet neural network models

(2020) Alexander Hošovský et al.   Journal of Building Engineering

Modelling and forecasting the oil consumptions of the BRICS-T countries

(2020) Izzet Karakurt   ENERGY

Time series analysis of mumps and meteorological factors in Beijing, China

(2019) Yu Hao et al.   BMC INFECTIOUS DISEASES

Forecasting annual natural gas consumption using socio-economic indicators for making future policies

(2019) Doruk Sen et al.   ENERGY

A method for natural gas forecasting and preliminary allocation based on unique standard natural gas consumption profiles

(2019) J. Ravnik et al.   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

Breeder hybrid algorithm approach for natural gas demand forecasting model

(2017) Yusuf Karadede et al.   ENERGY

Short-term load forecasting using a two-stage sarimax model

(2017) Agostino Tarsitano et al.   ENERGY

Impact of meteorological changes on the incidence of scarlet fever in Hefei City, China

(2016) Yu Duan et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Primary energy sources planning based on demand forecasting: The case of Turkey

(2016) Coşkun Hamzaçebi   Journal of Energy in Southern Africa

Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model

(2015) Xujun Zhang et al.   ANNALS OF EPIDEMIOLOGY

Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index

(2014) A. Jalalkamali et al.   International Journal of Environmental Science and Technology

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

(2013) Božidar Soldo et al.   ENERGY AND BUILDINGS

Deep greenhouse gas emission reductions in Europe: Exploring different options

(2013) Sebastiaan Deetman et al.   ENERGY POLICY

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

(2012) Fatih Taşpınar et al.   ENERGY AND BUILDINGS

Forecasting natural gas consumption

(2011) Božidar Soldo   APPLIED ENERGY

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Grey Prediction Approach to Forecasting Energy Demand in China

(2010) D. Pi et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Investigating the Variability in Daily Traffic Counts through use of ARIMAX and SARIMAX Models

(2010) Mario Cools et al.   TRANSPORTATION RESEARCH RECORD

Energy, economy, environment and sustainable development in the Middle East and North Africa

(2010) M.R. Riazi   International Journal of Oil Gas and Coal Technology

Improving artificial neural networks’ performance in seasonal time series forecasting

(2008) C HAMZACEBI   INFORMATION SCIENCES

Global oil demand and role of chemical EOR methods in the 21st century

(2008) Istvan Lakatos et al.   International Journal of Oil Gas and Coal Technology