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05/24/2023
Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
In recent years, low-carbon transportation has become an indispensable p...
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06/30/2022
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring
Non-intrusive load monitoring (NILM), which usually utilizes machine lea...
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02/07/2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Online federated learning (OFL) and online transfer learning (OTL) are t...
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10/25/2021
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Domain adaptation solves image classification problems in the target dom...
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08/08/2021
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Non-intrusive load monitoring (NILM), which usually utilizes machine lea...
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08/03/2021
Electrical peak demand forecasting- A review
The power system is undergoing rapid evolution with the roll-out of adva...
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06/10/2021
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids
In this paper, we propose a realistic multiple dynamic pricing approach ...
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12/01/2020
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation
We address the Unsupervised Domain Adaptation (UDA) problem in image cla...
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12/18/2016
