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Volumn , Issue , 2007, Pages 446-450

Case-based reasoning combined with information entropy and principal component analysis for short-term load forecasting

Author keywords

Case based reasoning; Information entropy; Neural network; Principal component analysis; Short term load forecasting

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; ELECTRIC GENERATORS; ELECTRIC POWER MEASUREMENT; ELECTRIC POWER SYSTEMS; ELECTRIC UTILITIES; FINANCIAL DATA PROCESSING; FORECASTING; INTELLIGENT CONTROL; KETONES; LOAD TESTING; PRINCIPAL COMPONENT ANALYSIS; SET THEORY; SYSTEM STABILITY;

EID: 48349100015     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2007.110     Document Type: Conference Paper
Times cited : (6)

References (10)
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  • 3
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  • 5
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    • Wang jun. The application of case-based reasoning with improved nearest-neighbor
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  • 7
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    • Sun Wei, Jian Changlu, He Yujun. Application of Neural Network Model Combining Information entropy and Colony Clustering Theory for Short-Term Load Forecasting. Conference on Machine Learning and Cybernetics, 8, No. 13, pp.4645-4650, 005.
    • Sun Wei, Jian Changlu, He Yujun. Application of Neural Network Model Combining Information entropy and Colony Clustering Theory for Short-Term Load Forecasting. Conference on Machine Learning and Cybernetics, Vol. 8, No. 13, pp.4645-4650, 005.
  • 8
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    • Model and method of power short-term load forecasting combining with rough sets information entropy and adaptive neural network fuzzy system
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.