Conforming load and weather diversity for the analysis of a multi-region forecasting system

2012 25th IEEE Canadian Conference on Electrical and Computer Engineering: Vision for a Greener Future, CCECE 2012

Volumn , Issue , 2012, Pages

  Wright, Connor ^a   Chan, Christine W ^a   Laforge, Paul ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

Electric power systems; Load diversity; Load forecasting; Multi region; Neural network

Indexed keywords

AGGREGATE DEMANDS; AGGREGATE LOAD; AGGREGATE MODEL; ARTIFICIAL NEURAL NETWORK MODELS; CONTROL AREA; ECONOMIC DIVERSIFICATION; ELECTRICAL DEMAND; FORECASTING SYSTEM; LOAD DIVERSITY; LOAD FORECASTING; MULTI-REGION; MULTI-REGION SYSTEMS; SASKATCHEWAN; SIMILAR DAY; SPATIAL SEPARATION; WEATHER PHENOMENA;

COMPUTER VISION; ELECTRIC LOAD FORECASTING; ELECTRIC LOADS; ELECTRIC POWER SYSTEMS; ELECTRIC UTILITIES; NEURAL NETWORKS;

AGGREGATES;

EID: 84870437806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2012.6334904     Document Type: Conference Paper

References (5)

1. N.A. Salim, et al, "Case Study of Short Term Load Forecasting for Weekends", IEEE Student Conference on Research and Development (SCOReD 2009), IEEE, Serdang, Malaysia, pp. 332-335, Nov. 2009
2. E. Feinberg and D. Genethliou, Applied Mathematics for Restructured Electric Power Systems, Springer Publishing, pp. 269-282, 2005
3. S. Methaprayoon, and W. Lee, "Multi-Area Load Forecasting for System with Large Geographical Area", Industrial and Commercial Power Systems Technical Conference, 2008, IEEE, pp. 1-8, May 2008
4. A. Sargent, et al, "Estimation of diversity and kWHR-to-peak-kW factors from load research data", IEEE Trans, vol. 9, pp. 1450-1456, 1994.
5. H. Willis, Spatial Electric Load Forecasting, Marcel Dekker, Inc., 1996.