Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series

DOI10.1142/S021812742050176XzbMath1451.86015OpenAlexW3091803610MaRDI QIDQ4971067

Zhongda Tian

Publication date: 8 October 2020

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021812742050176x

zbMATH Keywords

predictiontime seriesecho state networkchaotic characteristicsshort-term wind speed

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (1)

Artificial Intelligence, Chaos, Prediction and Understanding in Science

Uses Software

• GWO

Cites Work

• Short-term prediction method of wind speed series based on fractal interpolation
• Dynamics analysis and cryptographic application of fractional logistic map
• A prediction of precipitation data based on support vector machine and particle swarm optimization (PSO-SVM) algorithms
• Nonlinear dynamics delay times, and embedding windows
• A prediction method based on wavelet transform and multiple models fusion for chaotic time series

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