相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Monthly natural gas demand forecasting by adjusted seasonal grey forecasting model
Huseyin Avni Es
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)
Forecasting daily natural gas consumption with regression, time series and machine learning based methods
Melih Yucesan et al.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2021)
The environmental Kuznets curve hypothesis for Bangladesh: the importance of natural gas, liquefied petroleum gas, and hydropower consumption
Muntasir Murshed et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
IndoorSense: context based indoor pollutant prediction using SARIMAX model
Joy Dutta et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
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
Alexander Hosovsky et al.
JOURNAL OF BUILDING ENGINEERING (2021)
Modelling and forecasting the oil consumptions of the BRICS-T countries
Izzet Karakurt
ENERGY (2021)
Application of the artificial intelligence GANNATS model in forecasting crude oil demand for Saudi Arabia and China
Saud M. Al-Fattah et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)
Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets
Harald Kinateder et al.
FINANCE RESEARCH LETTERS (2021)
Natural gas consumption forecasting: A discussion on forecasting history and future challenges
Jinyuan Liu et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2021)
Day-ahead high-resolution forecasting of natural gas demand and supply in Germany with a hybrid model
Ying Chen et al.
APPLIED ENERGY (2020)
A novel improved model for building energy consumption prediction based on model integration
Ran Wang et al.
APPLIED ENERGY (2020)
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)
Greenhouse gas emissions, non-renewable energy consumption, and output in South America: the role of the productive structure
Qiushi Deng et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)
Forecasting day-ahead natural gas demand in Denmark
Orhan Altug Karabiber et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2020)
Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower
Hongfang Lu et al.
ENERGY (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)
Time series analysis of mumps and meteorological factors in Beijing, China
Yu Hao et al.
BMC INFECTIOUS DISEASES (2019)
Forecasting annual natural gas consumption using socio-economic indicators for making future policies
Doruk Sen et al.
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)
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)
Impact of meteorological changes on the incidence of scarlet fever in Hefei City, China
Yu Duan et al.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2016)
Primary energy sources planning based on demand forecasting: The case of Turkey
Coskun Hamzacebi
JOURNAL OF ENERGY IN SOUTHERN AFRICA (2016)
Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model
Xujun Zhang et al.
ANNALS OF EPIDEMIOLOGY (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)
Improving the residential natural gas consumption forecasting models by using solar radiation
Bozidar Soldo et al.
ENERGY AND BUILDINGS (2014)
Forecasting of daily natural gas consumption on regional basis in Turkey using various computational methods
Fatih Taspinar et al.
ENERGY AND BUILDINGS (2013)
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)
Forecasting natural gas consumption in Istanbul using neural networks and multivariate time series methods
Omer Fahrettin Demirel et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2012)
A Grey Prediction Approach to Forecasting Energy Demand in China
D. Pi et al.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (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)
Improving artificial neural networks' performance in seasonal time series forecasting
Coskun Hamzacebi
INFORMATION SCIENCES (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)
A nonlinear mixed effects model for the prediction of natural gas consumption by individual customers
Marek Brabec et al.
INTERNATIONAL JOURNAL OF FORECASTING (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)
Another look at measures of forecast accuracy
Rob J. Hyndman et al.
INTERNATIONAL JOURNAL OF FORECASTING (2006)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Fractographic analysis of silkworm and spider silk
P Poza et al.
ENGINEERING FRACTURE MECHANICS (2002)
Neural networks for short-term load forecasting: A review and evaluation
HS Hippert et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2001)
Combination of artificial neural-network forecasters for prediction of natural gas consumption
A Khotanzad et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)