44 citations · 54 across the 6 of their papers we have counts for
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cs.LG2023★ 7 cited
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…
cs.LG2019★ 3 cited
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
Christoph Klemenjak, Anthony Faustine, Stephen Makonin +1
To assess the performance of load disaggregation algorithms it is common practise to train a candidate algorithm on data from one or multiple households and subsequently apply cros…