Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems

This publication has 41 references indexed in Scilit:

• Forecasting natural gas consumption
  Applied Energy, 2012
• Forecasting the growth of China’s natural gas consumption
  Energy, 2011
• Physical geonomics: Combining the exergy and Hubbert peak analysis for predicting mineral resources depletion
  Resources, Conservation and Recycling, 2010
• A variant of the Hubbert curve for world oil production forecasts
  Energy Policy, 2009
• Demand projections of petroleum products and natural gas in India
  Energy, 2007
• The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study
  Energy, 2003
• Combination of artificial neural-network forecasters for prediction of natural gas consumption
  IEEE Transactions on Neural Networks, 2000
• Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states
  Energy, 1997
• Analysis of natural gas consumption in commercial buildings using sample survey data
  Energy, 1991
• A statistical evaluation of aggregate monthly industrial demand for natural gas in the U.S.A.
  Energy, 1987