Open Access
Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
---|---|---|
Article Number | 05011 | |
Number of page(s) | 7 | |
Section | Information and Communication Technologies (ICT) for the Intelligent Building Management | |
DOI | https://doi.org/10.1051/e3sconf/201911105011 | |
Published online | 13 August 2019 |
- R Core Team, R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing (2015) [Google Scholar]
- E. Himpe, Characterisation of residential energy use for heating using smart meter data. (Ghent University, Ghent, Belgium, 2017) [Google Scholar]
- L. Kaufman, P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis. (Wiley, USA, 1990) [Google Scholar]
- T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction, (Springer, New York, 2009) [Google Scholar]
- E. Himpe, A. Janssens, “Data-driven modelling of the energy use in dwellings using smart meter data”, in CLIMA 2016 - proceedings of the 12th REHVA World Congress, 6, (Aalborg, Denmark, 2016) [Google Scholar]
- E. Keogh, C. A. Ratanamahatana, “Exact indexing of dynamic time warping”, Knowl. Inf. Syst. (2004) [Google Scholar]
- C. A. Ratanamahatana, E. Keogh, “Making Time-Series Classification More Accurate using Learned Constraints”, in Proceedings of the SIAM International Conference on Data Mining(Florida, USA, 2004) [Google Scholar]
- A. Agresti, An Introduction to Categorical Data Analysis (Wiley, Hoboken, New Jersey, 2007) [Google Scholar]
- W. N. Venables, B. D. Ripley, Modern Applied Statistics with S(Springer, New York, 2002) [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.