OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Matías Quintana, Till Stoeckmann, June Young Park, et al.
Energy and Buildings (2022) Vol. 265, pp. 112096-112096
Open Access | Times Cited: 9
Matías Quintana, Till Stoeckmann, June Young Park, et al.
Energy and Buildings (2022) Vol. 265, pp. 112096-112096
Open Access | Times Cited: 9
Showing 9 citing articles:
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 17
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 17
Escape velocity-based adaptive outlier detection algorithm
Jinchuan Yang, Lijun Yang, Dongming Tang, et al.
Knowledge-Based Systems (2025) Vol. 311, pp. 113116-113116
Closed Access
Jinchuan Yang, Lijun Yang, Dongming Tang, et al.
Knowledge-Based Systems (2025) Vol. 311, pp. 113116-113116
Closed Access
Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Coherent description of 48 metrics to compare, validate and assess accuracy of building energy models and indoor environment simulations
Hicham Johra, Markus Schaffer, Gaurav Chaudhary, et al.
(2023)
Open Access | Times Cited: 4
Hicham Johra, Markus Schaffer, Gaurav Chaudhary, et al.
(2023)
Open Access | Times Cited: 4
Building consumption anomaly detection: A comparative study of two probabilistic approaches
Davor Stjelja, Vladimir Kuzmanovski, Risto Kosonen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114249-114249
Open Access | Times Cited: 1
Davor Stjelja, Vladimir Kuzmanovski, Risto Kosonen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114249-114249
Open Access | Times Cited: 1
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Density and cluster outlier detection in hourly energy consumption
Ahmad Nasukha, Musi Ariawijaya, Salsabila Eka Putri, et al.
AIP conference proceedings (2024) Vol. 3109, pp. 030019-030019
Open Access
Ahmad Nasukha, Musi Ariawijaya, Salsabila Eka Putri, et al.
AIP conference proceedings (2024) Vol. 3109, pp. 030019-030019
Open Access
An anomaly detection method for identifying locations with abnormal behavior of temperature in school buildings
Ashani Wickramasinghe, Saman Muthukumarana, Matt Schaubroeck, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Ashani Wickramasinghe, Saman Muthukumarana, Matt Schaubroeck, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Managing Anomalies in Energy Time Series for Automated Forecasting
Marian Turowski, Oliver Neumann, Lisa Mannsperger, et al.
Lecture notes in computer science (2023), pp. 3-29
Open Access
Marian Turowski, Oliver Neumann, Lisa Mannsperger, et al.
Lecture notes in computer science (2023), pp. 3-29
Open Access
