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Volumn 23, Issue 5, 2003, Pages 6-8+175

The chaotic property of system marginal price and its forecasting

Author keywords

Chaos; Lyapunov exponent; Marginal price; Phase space; Power market; Power systems

Indexed keywords

CHAOS THEORY; FORECASTING; LYAPUNOV METHODS; NONLINEAR SYSTEMS;

EID: 0042328089     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (12)
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  • 2
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    • The chaotic property of power load and is forecasting
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    • Li, T.1    Liu, Z.2
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    • The fractal research and predicating on the time series of sunspot relative number
    • Gu Shengshi, Wang Zhiqian, Cheng Jitai. The fractal research and predicating on the time series of sunspot relative number[J]. Applied Mathematics and Mechanics, 1999, 20(1): 79-84.
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    • Electric power system short-term load forecasting using Lyapunov exponents technique
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    • Liang, Z.1    Wang, L.2    Fu, D.3
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    • Academic research of load modeling with chaotic network
    • Yao Jiangang, Chen Liang, Dai Xijun, et al. Academic research of load modeling with chaotic network[J]. Proceedings of the CSEE, 2002, 22(3): 99-102.
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    • Yao, J.1    Chen, L.2    Dai, X.3
  • 9
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    • Predicting chaotic time series
    • Farmer J D, Sidorowich J J. Predicting chaotic time series[J]. Phys. Rev. Lett., 1987, 59(8): 845-848.
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    • Farmer, J.D.1    Sidorowich, J.J.2
  • 12
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    • Studies on auxiliary decision-making system for power plants price competition
    • North China Electric Power University (Beijing) Master Degree Thesis
    • Yang Zhengdong. Studies on auxiliary decision-making system for power plants price competition[D]. North China Electric Power University (Beijing) Master Degree Thesis, 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.