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A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
The Building Internet of Energy (BIoE) is quite promising for curtailing energy consumption, reducing costs, and promoting building transformation. Integrating Artificial Intelligence into the BIoE is essential for big ...
Exploring Deep Time-Series Imaging for Anomaly Detection of Building Energy Consumption
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
Although deep anomaly detection (DAD) is crucial to optimize energy management in smart buildings, there is a lack of efficient research investigating DAD of energy consumption time-series. Besides, analyzing one-dimensional ...
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...