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Volumn 2015, Issue , 2015, Pages

Power load prediction based on fractal theory

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EID: 84926330638     PISSN: 16879120     EISSN: 16879139     Source Type: Journal    
DOI: 10.1155/2015/827238     Document Type: Article
Times cited : (10)

References (14)
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  • 2
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    • Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
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    • Hong, W.-C.1
  • 4
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    • Shorttermpower load forecast based on particle swarmoptimization with extended memory and support vector regression
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  • 5
    • 84926337429 scopus 로고    scopus 로고
    • Study on power system load characteristics based on fractal theory
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    • Shen, H.1    Ma, B.2    Liu, F.3
  • 6
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    • The relationship between subjective sleep disturbance and complexity of 24-hour activity utilizing fractal theory in psychiatric inpatients
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    • Yamahara, M.1    Noguchi, T.2    Okawa, M.3    Yamada, N.4
  • 7
    • 79954500678 scopus 로고    scopus 로고
    • Feature Extraction of demagnetization faults in permanent-magnet synchronous motors based on boxcounting fractal dimension
    • M. D. Prieto, A. G. Espinosa, J.-R. Riba Ruiz, J. C. Urresty, and J. A. Ortega, "Feature Extraction of demagnetization faults in permanent-magnet synchronous motors based on boxcounting fractal dimension" IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1594-1605, 2011.
    • (2011) IEEE Transactions on Industrial Electronics , vol.58 , Issue.5 , pp. 1594-1605
    • Prieto, M.D.1    Espinosa, A.G.2    Riba Ruiz, J.-R.3    Urresty, J.C.4    Ortega, J.A.5
  • 8
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  • 11
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    • Signal recovery in power-line communications systems based on the fractals
    • M.-Y. Zhai, "Signal recovery in power-line communications systems based on the fractals" IEEE Transactions on Power Delivery, vol. 26, no. 3, pp. 1864-1872, 2011.
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    • Zhai, M.-Y.1
  • 14
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    • Study on Fractal Method of Power Load Forecasting
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.