Title :
On stochastic heating load prediction
Author :
Noureddine, A.H. ; Alouani, A.T. ; Chandrasekaran, A.
Author_Institution :
Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
The authors previously (1991) derived the density function of the duty cycle of a residential thermostat-controlled heating unit using a physically based stochastic load model. In this paper they use this density function to determine the maximum likelihood duty cycle using real data. This duty cycle is used to predict the energy demand of a space conditioning load. The prediction is found to track the actual duty cycle much better than deterministic and steady-state duty cycles
Keywords :
probability; space heating; stochastic systems; thermostats; density function; duty cycle; duty cycle tracking; energy demand prediction; maximum likelihood duty cycle; residential thermostat-controlled heating unit; space conditioning load; stochastic heating load prediction; Density functional theory; Heat engines; Heat pumps; Heating; Load modeling; Space heating; Steady-state; Stochastic processes; Temperature control; Temperature sensors; Thermostats; Uncertainty;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261556
