Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order

DOI10.1007/s40314-020-01315-3zbMath1463.91086OpenAlexW3083320229MaRDI QIDQ827362

Wanpeng Li, Yu Hu, Daoxing Tu, Xin Ma, Wenqing Wu

Publication date: 7 January 2021

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-020-01315-3

zbMATH Keywords

particle swarm optimizationfractional grey modelGreen manufacturinglow-carbon productionnatural gas consumptiontime-delayed grey model

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

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A novel ensemble learning-based grey model for electricity supply forecasting in China ⋮ An optimized continuous fractional grey model for forecasting of the time dependent real world cases ⋮ A novel elastic net-based NGBMC(1,n) model with multi-objective optimization for nonlinear time series forecasting ⋮ Unnamed Item ⋮ An optimized discrete grey multi-variable convolution model and its applications

Cites Work

• Properties of the \(\mathrm{GM}(1,1)\) with fractional order accumulation
• Grey system model with the fractional order accumulation
• Nonlinear grey prediction model with convolution integral NGMC \((1,n)\) and its application to the forecasting of China's industrial \(SO_2\) emissions
• Examination and prediction of fog and haze pollution using a multi-variable grey model based on interval number sequences
• Modeling cryptocurrencies transaction counts using variable-order fractional grey Lotka-Volterra dynamical system
• Modeling method of the grey GM(1,1) model with interval grey action quantity and its application
• The novel fractional discrete multivariate grey system model and its applications

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