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Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N)
9 references·0 citing·34 second hop
Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N) (2020)Forecasting Clean Energy Consumption in C…Integrating heuristic time series with modified grey forecasting for renewable energy in Taiwan (2018)Integrating heuristic time se…GM(1,N) method for the prediction of anaerobic digestion system and sensitivity analysis of influential factors (2017)GM(1,N) method for the predic…Development of an optimization method for the GM(1,N) model (2016)Development of an optimizatio…Using grey models for forecasting China’s growth trends in renewable energy consumption (2015)Using grey models for forecas…Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model (2014)Optimization approach of back…Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model (2014)Optimization approach of back…Prediction of the yield of biohydrogen under scanty data conditions based on GM(1,N) (2013)Prediction of the yield of bi…A research on the grey prediction model GM(1,n) (2011)A research on the grey predic…Optimization of Background Value in GM(1,1) Model (2008)Optimization of Background Va…Control problems of grey systems (1982)Industrial and business forecasting methods (1982)Grey system theory-based models in time series prediction (2009)Combining FMEA with DEMATEL models to solve production process problems (2017)Comparing forecasting accuracy of selected grey and time series models based on energy consumption in Brazil and India (2022)An integrated SWARA-CODAS decision-making algorithm with spherical fuzzy information for clean energy barriers evaluation (2023)Grey Information: Theory and Practical Applications (2005)Discrete grey forecasting model and its optimization (2008)Grey system model with the fractional order accumulation (2012)Interval grey number sequence prediction by using non-homogenous exponential discrete grey forecasting model (2015)Data-based structure selection for unified discrete grey prediction model (2019)Forecasting the concentration of sulfur dioxide in Beijing using a novel grey interval model with oscillation sequence (2021)The GM models that x(n) be taken as initial value (2004)An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China (2012)A self-adaptive intelligence grey predictive model with alterable structure and its application (2016)A novel particle swarm optimization-based grey model for the prediction of warehouse performance (2021)Grey Control Systems (2010)A grey-based group decision-making methodology for the selection of hydrogen technologies in life cycle sustainability perspective (2012)Grey Systems: Theory and Applications (2010)Grey Systems: Theory and Applications (2011)The kernel-based nonlinear multivariate grey model (2017)Optimal solution for novel grey polynomial prediction model (2018)Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model (2021)Fuzzy sets (1965)Fuzzy sets (1996)Another look at measures of forecast accuracy (2006)Grey forecasting models based on internal optimization for Novel Corona virus (COVID-19) (2021)A novel Optimized initial condition and Seasonal division based Grey Seasonal Variation Index model for hydropower generation (2022)Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model (2022)Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model (2014)Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China (2017)Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China (2018)Forecasting the Water Demand in Chongqing, China Using a Grey Prediction Model and Recommendations for the Sustainable Development of Urban Water Consumption (2017)Coal consumption forecasting using an optimized grey model: The case of the world's top three coal consumers (2021)
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References

  • 2011A research on the grey prediction model GM(1,n)208 cited
  • 2016Development of an optimization method for the GM(1,N) model123 cited
  • 2015Using grey models for forecasting China’s growth trends in renewable energy consumption97 cited
  • 2008Optimization of Background Value in GM(1,1) Model90 cited
  • 2014Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model57 cited
  • 2018Integrating heuristic time series with modified grey forecasting for renewable energy in Taiwan54 cited
  • 2014Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model41 cited
  • 2017GM(1,N) method for the prediction of anaerobic digestion system and sensitivity analysis of influential factors30 cited
  • 2013Prediction of the yield of biohydrogen under scanty data conditions based on GM(1,N)29 cited

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