The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Accurate occupancy detection of an office room from light, temperature, humidity and CO 2 measurements using statistical learning models
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
An Introduction to Statistical Learning
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013) · Springer Texts in Statistics · doi:10.1007/978-1-4614-7138-7 · Cited by 12,106
ASHRAE Handbook—1981 Fundamentals
(1981) · Building Services Engineering Research and Technology · doi:10.1177/014362448100200409 · Cited by 3,403
caret: Classification and Regression Training
Kuhn, M. (2007) · CRAN: Contributed Packages · doi:10.32614/cran.package.caret · Cited by 1,786
Occupancy-driven energy management for smart building automation
Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., & Weng, T. (2010) · Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building · doi:10.1145/1878431.1878433 · Cited by 570
Cited by
Data driven prediction models of energy use of appliances in a low-energy house
Candanedo, L. M., Feldheim, V., & Deramaix, D. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.01.083 · Cited by 554
Self-citationUnsupervised Anomaly Detection With LSTM Neural Networks
Ergen, T., & Kozat, S. S. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2935975 · Cited by 386
Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i9.16936 · Cited by 312
A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion
Ding, W., Jing, X., Yan, Z., & Yang, L. T. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.12.001 · Cited by 230
Data mining in the construction industry: Present status, opportunities, and future trends
Yan, H., Yang, N., Peng, Y., & Ren, Y. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103331 · Cited by 161
Metadata
- Authors
- Candanedo, L. M., & Feldheim, V.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 112
- Pages
- 28-39
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2182886880
- Cited by
- 586
- References
- 36
- FWCI
- 51.84
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Accurate occupancy detection of an office room from light, temperature, humidity and CO 2 measurements using statistical learning models. https://app.cochat.ai/papers/10.1016/j.enbuild.2015.11.071
- The paper
- Candanedo, L. M., & Feldheim, V. (2016). Accurate occupancy detection of an office room from light, temperature, humidity and CO 2 measurements using statistical learning models. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2015.11.071
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
