Title :
Validation of applying the maximum likelihood duty cycle forecast for residential load aggregation
Author :
Srinivasan, S. ; Chandrasekaran, A. ; Alouani, A.T.
Author_Institution :
Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
The prediction of single house space heating load by the maximum likelihood duty cycle concept is extended to the next level of a group of houses supplied by a distribution feeder. Data collected in the Athens Load Control Experiment are used for validating the prediction. The random parameter is identified for each house in a group using the average day data in December 1986. The parameter is then applied for predicting the space heating load on a day in January 1987. The aim is to determine the effectiveness of the new stochastic appliance model for aggregating the space heating load of a group of houses
Keywords :
aggregation; distribution networks; load forecasting; maximum likelihood estimation; space heating; stochastic processes; distribution feeder; group of houses; maximum likelihood duty cycle forecast; residential load aggregation; single house space heating load; stochastic appliance model; Density functional theory; Equations; Home appliances; Load flow control; Load forecasting; Maximum likelihood estimation; Predictive models; Space heating; Space technology; Stochastic processes;
Conference_Titel :
System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
Conference_Location :
Tuscaloosa, AL
Print_ISBN :
0-8186-3560-6
DOI :
10.1109/SSST.1993.522754