Open Access
Issue
E3S Web Conf.
Volume 172, 2020
12th Nordic Symposium on Building Physics (NSB 2020)
Article Number 22001
Number of page(s) 7
Section Energy performance assessment based on in situ measurements incl. IEA Annex 71
DOI https://doi.org/10.1051/e3sconf/202017222001
Published online 30 June 2020
  1. BMWi, Energieeffizienzstrategie Gebäude. Wege zu einem nahezu klimaneutralen Gebäudebestand (2015), https://www:bmwi:de/Redaktion/DE/Publikationen/Energie/energieeffizienzstrategie-gebaeude:html [Google Scholar]
  2. IEA ECB Annex 71. Building Energy Performance Assessment Based on In-situ Measurements, Website (2016-2021), https://www:ecbcs:org/projects/project?AnnexID=71 [Google Scholar]
  3. IEA ECB Annex 58. Reliable Building Energy Performance Characterisation Based on Full Scale Dynamic Measurements (2011-2016), https://www:iea-ebc:org/projects/project?AnnexID=58 [Google Scholar]
  4. H. Madsen, Time series analysis, Chapman and Hall (2008) [Google Scholar]
  5. H. Pruscha, Statistisches Methodenbuch (Springer, 2006) [CrossRef] [Google Scholar]
  6. S.D. Fassois, J.S. Sakellariou, Time-series methods for fault detection and identification in vibrating structures, Philosophical Transactions of the Royal Society, Vol. 77, pp. 411–448 (2006) [Google Scholar]
  7. P. Strachan, K. Svehla, I. Heusler, M. Kersken, Whole model empirical validation on a full-scale building, Journal of Building Performance Simulation, Vol. 9, pp. 331–350 (2016) [Google Scholar]
  8. M. Kersken, I. Heusler, P. Strachan, Erstellung eines neuen, messdatengestützten validierungsszenarios für gebäudesimulationsprogramme, Fifth German-Austrian IBPSA Conference at RWTH Aachen University, pp. 144–151 (2014) [Google Scholar]
  9. P. Strachan, Twin houses empirical dataset: Experiment 1 (2015), https://pureportal:strath:ac:uk/en/datasets/twin-houses-empirical-dataset-experiment-1 [Google Scholar]
  10. P. Strachan, Twin houses empirical validation dataset: Experiment 2 (2016), https://pureportal:strath:ac:uk/en/datasets/twin-houses-empirical-validation-dataset-experiment-2 [Google Scholar]
  11. IDA Indoor Climate and Energy (IDA ICE), simulation tool (2019), https://www:equa:se/en/ida-ice [Google Scholar]
  12. R Core Team, R version 3.6.1 (Action of the Toes), https://www:r-project:org/ [Google Scholar]
  13. R Studio Team, RStudio: Integrated Development Environment for R (2019), http://www:rstudio:com/ [Google Scholar]
  14. H. Wickham, ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag New York, 2016) [Google Scholar]
  15. M.N. Wright, A. Ziegler, ranger: A fast implementation of random forests for high dimensional data in C++ and R, Journal of Statistical Software, Vol. 77, pp. 1–17 (2017) [Google Scholar]
  16. K. Ohtsu, H. Peng, G. Kitagawa, Time series modeling for analysis and control, Springer (2015) [Google Scholar]
  17. A.T. Arnholt, B. Evans, Bsda: Basic statistics and data analysis (2017), r package version 1.2.0 http://CRAN:R-project:org/package=BSDA [Google Scholar]
  18. R Core Team, Wilcoxon rank sum and signed rank tests, https://stat:ethz:ch/R-manual/R-devel/library/stats/html/wilcox:test:html [Google Scholar]
  19. A. Hart, S. Martínez, spgs: Statistical patterns in genomic sequences (2018), r package version 1.0-2 http://CRAN:R-project:org/package=spgs [Google Scholar]
  20. R Core Team, Box pierce and ljung box tests, https://stat:ethz:ch/R-manual/R-patched/library/stats/html/box:test:html [Google Scholar]
  21. F. Caeiro, A. Mateus, randtests: Testing randomness in r (2014), r package version 1.0 http://CRAN:R-project:org/package=randtests [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.