7 citations · 7 across the 2 of their papers we have counts for
3 papers
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Hafsa Bousbiat, Yassine Himeur, Abbes Amira +1
Non-intrusive Load Monitoring (NILM) algorithms, commonly referred to as load disaggregation algorithms, are fundamental tools for effective energy management. Despite the success…
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
Hafsa Bousbiat, Roumaysa Bousselidj, Yassine Himeur +5
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy data, particularly when used to train machine learning models for different services. The…
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring
Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner +1
The need for reducing our energy consumption footprint and the increasing number of electric devices in today's homes is calling for new solutions that allow users to efficiently m…