A hybrid application algorithm based on the support vector machine and artificial intelligence: an example of electric load forecasting

DOI10.1016/j.apm.2014.10.065zbMath1443.91217OpenAlexW2051795269MaRDI QIDQ2009969

Chaoqun Liu, Caihong Li, Lian Li, Yi Yang, Yanhua Chen

Publication date: 3 December 2019

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

Full work available at URL: https://doi.org/10.1016/j.apm.2014.10.065

zbMATH Keywords

seasonal adjustmentempirical mode decompositionPSOelectric load forecastingLSSVM

Mathematics Subject Classification ID

Parallel algorithms in computer science (68W10) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Related Items (1)

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Uses Software

• MADM

Cites Work

• The model of chaotic sequences based on adaptive particle swarm optimization arithmetic combined with seasonal term
• Control problems of grey systems
• Some Comments on the Combination of Forecasts
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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