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China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model · Study

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ArticleChina’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model

Shiwei Yu2012

Article2012

China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model

Shiwei Yu · Yi‐Ming Wei · Ke Wang

58 citations·0/0 files stored·Energy Conversion and Management

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

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References

2006ARIMA forecasting of primary energy demand by fuel in Turkey 2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey 2010Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India 2010Forecasting energy consumption using a grey model improved by incorporating genetic programming 2010Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables 2003Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach 2009Energy demand estimation of South Korea using artificial neural network 2007Ant colony optimization approach to estimate energy demand of Turkey

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2020Interval Grey Prediction Models with Forecast Combination for Energy Demand Forecasting

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Year2012

Typearticle

Published2012-04-24

VenueEnergy Conversion and Management

ISSN-L0196-8904

Languageen

Citations58

Files0 public / 0

ShelfEnergy, Environment, Economic Growth

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doi10.1016/j.enconman.2012.03.016

openalex_workW1970230397

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