Validation of a community district energy system model using field measured data
Behrang Talebi,
Fariborz Haghighat,
Paul Tuohy and
Parham A. Mirzaei
Energy, 2018, vol. 144, issue C, 694-706
Abstract:
Load prediction is the first step in designing an efficient community district heating system (CDHS). Even though several methods have been developed to predict the heating demand profile of buildings, there is a lack of method that can predict this profile for a large-scale community with a numerous user types in a timely manner and with an appropriate level of precision.
Keywords: Load prediction; District heating system; Validation; Clustering (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421732087X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:144:y:2018:i:c:p:694-706
DOI: 10.1016/j.energy.2017.12.054
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().