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Adaptive Weather Correction of Energy Consumption Data
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Eskilstuna Kommunfastighet, Eskilstuna, Sweden.ORCID iD: 0000-0003-3530-0209
2017 (English)In: Energy Procedia, Elsevier Ltd , 2017, 3397-3402 p.Conference paper, (Refereed)
Abstract [en]

A framework for adaptive weather correction of energy consumption data is presented. The procedure is conducted in two steps: I) a regression model is trained on a building's recent historical energy consumption, weather and calendar data; II) energy consumption is predicted by using long term weather data as input to the trained model. Thus the buildings long term energy consumption is obtained, from which the building's expected (alias normalised or weather corrected) yearly energy consumption is derived. For older Swedish residential buildings, the proposed regression method matches traditional heating degree days method in accuracy. But for low energy and near zero energy buildings the regression method is more accurate, especially for years of extreme weather and for building with more complex installations such as heat pumps or solar thermal panels. The main benefit of the developed weather correction method is that it adapts to the data, therefore most buildings (or any kinds of weather dependent processes) can be weather corrected in an automated way. © 2017 The Authors. Published by Elsevier Ltd.

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. 3397-3402 p.
Keyword [en]
adaptive regression, normalisation, statistical learning, weather correction, Buildings, Energy conservation, Regression analysis, Correction method, Energy consumption datum, Residential building, Traditional heating, Zero energy building (ZEB), Energy utilization
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-36065DOI: 10.1016/j.egypro.2017.03.778Scopus ID: 2-s2.0-85020709866OAI: oai:DiVA.org:mdh-36065DiVA: diva2:1120631
Conference
8th International Conference on Applied Energy, ICAE 2016, 8 October 2016 through 11 October 2016
Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-07-06Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf