Title :
Short-term load forecasting using multiple regression analysis
Author_Institution :
Nolin Rural Electr. Cooperative Corp., USA
Abstract :
This paper demonstrates the use of multiple regression analysis to forecast short term loading levels for an electric utility. The model was developed for both the winter and summer due to the differing load profiles
Keywords :
load forecasting; statistical analysis; electric utility; load profiles; multiple regression analysis; short-term load forecasting; summer; winter; Board of Directors; Electrons; Fuel cells; Load forecasting; Power industry; Predictive models; Regression analysis; Substations; Technology planning; Weather forecasting;
Conference_Titel :
Rural Electric Power Conference, 1999
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-5244-0
DOI :
10.1109/REPCON.1999.768683
