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Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency

Author(s): Al-Bazzaz H; Azam M; Amayri M; Bouguila N;

Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern unique ...

Article GUID: 37837127


Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications

Author(s): Luo Z; Amayri M; Fan W; Bouguila N;

Cross-collection topic models extend previous single-collection topic models, such as Latent Dirichlet Allocation (LDA), to multiple collections. The purpose of cross-collection topic modeling is to model document-topic representations and reveal similariti ...

Article GUID: 36685642


Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning

Author(s): Bouhamed O; Amayri M; Bouguila N;

Accurate and timely occupancy prediction has the potential to improve the efficiency of energy management systems in smart buildings. Occupancy prediction heavily depends on historical occupancy-related data collected from various sensor sources. Unfortunat ...

Article GUID: 35590880


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