Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8072363 | Energy | 2018 | 13 Pages |
Abstract
This paper, first briefly describes the 4-step procedure developed earlier, utilizing a Multiple Non-Linear Regression (MNLR) method, for predicting the heating demand profile of district, followed by description of the community structure, and its district system. It also reports the field measurement procedure for collecting the data required and the preliminary analysis data. Results obtained from a continuous monitoring of the CDHS over a two-year period is employed to validate the accuracy of the developed model in the predicting the CDHS's heating load profile. Finally, using the 4-step procedure, the district's energy demand profile is predicted, and compared with both the measured data and the initial prediction. The outcome shows a less than 11.2% in the mean square root error (MSRE) of the predicted and measured load profiles.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Behrang Talebi, Fariborz Haghighat, Paul Tuohy, Parham A. Mirzaei,