Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence

DOI10.1016/J.APM.2019.11.032zbMath1481.62075OpenAlexW2989737591WikidataQ126661236 ScholiaQ126661236MaRDI QIDQ86248

Yanchao Shi, Fangli He, Xiangyan Zeng, Shuli Yan, Yanchao Shi, Fangli He, Shuli Yan, Xiang-Yan Zeng

Publication date: April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.11.032

zbMATH Keywords

matrix formelectricity consumptiondynamic background valueinterval sequencemulti-variable grey model

Mathematics Subject Classification ID

Inference from stochastic processes (62M99) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

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• An exponential-type kernel robust regression model for interval-valued variables
• Triangular fuzzy series forecasting based on grey model and neural network
• A novel multivariate grey model for forecasting the sequence of ternary interval numbers

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