Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities

no code implementations • 13 Feb 2024 • Fodil Fadli, Yassine Himeur, Mariam Elnour, Abbes Amira

Anomaly detection in sport facilities has gained significant attention due to its potential to promote energy saving and optimizing operational efficiency.

Anomaly Detection energy management +1

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives

no code implementations • 17 Apr 2023 • Hafsa Bousbiat, Roumaysa Bousselidj, Yassine Himeur, Abbes Amira, Faycal Bensaali, Fodil Fadli, Wathiq Mansoor, Wilfried Elmenreich

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.

Federated Learning Load Forecasting