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Energy demand estimation of South Korea using artificial neural network · Study

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ArticleEnergy demand estimation of South Korea using artificial neural network

Zong Woo Geem2009

Article2009

Energy demand estimation of South Korea using artificial neural network

Zong Woo Geem · William E. Roper

204 citations·0/0 files stored·Energy Policy

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Energy, Environment, Economic Growth Forecasting Techniques and Applications Energy Load and Power Forecasting

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References

2003Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach

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2014Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm 2015Can China achieve its carbon intensity target by 2020 while sustaining economic growth?2011A PSO–GA optimal model to estimate primary energy demand of China 2011Energy demand projection of China using a path-coefficient analysis and PSO–GA approach 2020Effective long short-term memory with fruit fly optimization algorithm for time series forecasting 2011A hybrid procedure for energy demand forecasting in China 2012China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model 2019Energy Sector Development: System Dynamics Analysis

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Year2009

Typearticle

Published2009-05-28

VenueEnergy Policy

ISSN-L0301-4215

Languageen

Citations204

Files0 public / 0

ShelfEnergy, Environment, Economic Growth

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doi10.1016/j.enpol.2009.04.049

openalex_workW2032654523

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