Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting-Reference-Cited by-同舟云学术

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Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting

Published:2012-09 Issue:9-10 Volume:45 Page:1277-1287
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Wang Jianzhou,Jia Ruiling,Zhao Weigang,Wu Jie,Dong Yao

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference45 articles.

1. Functional clustering and linear regression for peak load forecasting;Goia;Int J Forecast,2010

2. Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads;Pai;Energy Convers Manag,2006

3. Fuzzy neural very-short-term load forecasting based on chaotic dynamics reconstruction;Yang;Chaos Solitons Fract,2006

4. An evaluation of methods for very short-term load forecasting using minute-by-minute British data;James;Int J Forecast,2008

5. Mid-term load forecasting of power systems by a new prediction method;Amjady;Energy Convers Manag,2008

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1. A robust maximum correntropy forecasting model for time series with outliers;PeerJ Computer Science;2023-02-08

2. Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach;PeerJ Computer Science;2022-08-02

3. An adaptive hybrid fractal model for short-term load forecasting in power systems;Electric Power Systems Research;2022-06

4. Multi-step-ahead electricity load forecasting using a novel hybrid architecture with decomposition-based error correction strategy;Chaos, Solitons & Fractals;2021-11

5. Short‐term power load fitting/forecasting based on composite modified fractal interpolation approaches;International Transactions on Electrical Energy Systems;2020-11-24

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