Neural network based approach for short-term load forecasting

2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Volumn , Issue , 2009, Pages

  Osman, Zainab H ^a   Awad, Mohamed L ^c   Mahmoud, Tawfik K ^b  

^a CAIRO UNIVERSITY   (Egypt)

^b General Organization for Technical Education and Vocational Training   (Saudi Arabia)

^c NONE

Author keywords

Correlation analysis; Load forecasting; Neural network; Short term

Indexed keywords

CONVENTIONAL METHODS; CORRELATION ANALYSIS; DIRECT IMPACT; EGYPTIANS; ELECTRIC POWER SYSTEM PLANNING; FORECASTING ERROR; INPUT PARAMETER; LOAD DATA; LOAD FORECAST; LOAD FORECASTING; NON-LINEAR RELATIONSHIPS; OPERATIONAL COSTS; POWER COMPANY; RAPID TEMPERATURE; REGRESSION METHOD; SEASONAL VARIATION; SECURITY ASSESSMENT; SHORT TERM LOAD FORECASTING; SHORT-TERM; SYSTEM LOADS; SYSTEM SECURITY; UNIFIED SYSTEM; UNIT COMMITMENTS; WEATHER DATA;

ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; LOAD TESTING; METEOROLOGY; NEURAL NETWORKS; POWER TRANSMISSION;

ELECTRIC LOAD FORECASTING;

EID: 70349177541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PSCE.2009.4840035     Document Type: Conference Paper

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