Application of chaos and neural network in power load forecasting

DOI10.1155/2011/597634zbMath1245.93100OpenAlexW2022353411WikidataQ58655520 ScholiaQ58655520MaRDI QIDQ659530

Chong-Xin Liu, Li Li

Publication date: 23 January 2012

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2011/597634

zbMATH Keywords

Lyapunov exponentschaotic systemsgenetic algorithm (GA)artificial neural network (ANN)back propagation (BP) algorithmpower load forecasting

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Control/observation systems governed by ordinary differential equations (93C15) Chaos control for problems involving ordinary differential equations (34H10)

Related Items (1)

Horseshoe chaos in a 3D neural network with different activation functions

Cites Work

• Synchronization of unified chaotic system based on passive control
• Determining Lyapunov exponents from a time series
• Practical method for determining the minimum embedding dimension of a scalar time series

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