Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison

Joseph Carpenter, Keith A. Woodbury and Zheng O'Neill

Applied Energy, 2018, vol. 213, issue C, 415-425

Abstract: Industrial facilities account for approximately a third of energy usage in the world, and effective energy assessments of these facilities require a reliable baseline energy model. Commercial and residential buildings have been baselined with both simple change-point models and models that are more complex, such as Gaussian process and artificial neural networks, and these models are developed and tested with dense high-frequency data. However, industrial facilities have only been baselined using change-point models, and data for the models are typically restricted to monthly utility bills and, therefore, generally sparse data.

Keywords: Industrial energy; Baseline modeling; Change-point; Gaussian (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261918300448
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:appene:v:213:y:2018:i:c:p:415-425

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2018.01.043

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().