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Now showing items 41-46 of 46
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
(
John Wiley and Sons Ltd
, 2021 , Article)
Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ...
An innovative deep anomaly detection of building energy consumption using energy time-series images
(
Elsevier
, 2023 , Article)
Deep anomaly detection (DAD) is essential in optimizing building energy management. Nonetheless, most existing works concerning this field consider unsupervised learning and involve the analysis of sensor readings through ...
Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2023 , Conference Paper)
Indoor localization is a crucial aspect of various disciplines in our daily lives. It enables efficient administration tasks and improves safety by identifying the position of items or people inside spaces, making it useful ...
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 ...