Rakiba Rayhana
- Personalized federated learning for buildings energy consumption forecasting. In: Energy and Buildings, v. 323 (November 2024). (2024):
- Multi-task deep learning for large-scale buildings energy management. In: Energy and Buildings, v. 307 (March 2024). (2024):
- An adaptive federated learning system for community building energy load forecasting and anomaly prediction. In: Energy and Buildings, v. 295 (September 2023). (2023):
- Predictive analytics for building power demand: Day-ahead forecasting and anomaly prediction. In: Energy and Buildings, v. 255 (January 2022). (2022):