![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"An innovative deep anomaly detection of building energy consumption using ..."
Abigail Copiaco et al. (2023)
- Abigail Copiaco
, Yassine Himeur
, Abbes Amira, Wathiq Mansoor, Fodil Fadli
, Shadi Atalla
, Shahab Saquib Sohail
:
An innovative deep anomaly detection of building energy consumption using energy time-series images. Eng. Appl. Artif. Intell. 119: 105775 (2023)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.