| Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network MN Fekri, H Patel, K Grolinger, V Sharma Applied Energy 282, 116177, 2020 | 209 | 2020 |
| Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks MN Fekri, K Grolinger, S Mir International Journal of Electrical Power & Energy Systems, 107669, 2021 | 115 | 2021 |
| Generating energy data for machine learning with recurrent generative adversarial networks MN Fekri, AM Ghosh, K Grolinger Energies 13 (1), 130, 2020 | 114 | 2020 |
| Load Forecasting Under Concept Drift: Online Ensemble Learning with Recurrent Neural Network and ARIMA RK Jagait, MN Fekri, K Grolinger, S Mir IEEE Access, 2021 | 58 | 2021 |
| Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information K Dunphy, MN Fekri, K Grolinger, A Sadhu Sensors 22 (16), 6193, 2022 | 11 | 2022 |
| Cross split decision trees for pattern classification Z Mirzamomen, MN Fekri, M Kangavari 2015 5th International Conference on Computer and Knowledge Engineering …, 2015 | 8 | 2015 |
| Asynchronous adaptive federated learning for distributed load forecasting with smart meter data MN Fekri, K Grolinger, S Mir International Journal of Electrical Power & Energy Systems 153, 109285, 2023 | 3 | 2023 |
| Deep Learning For Load Forecasting With Smart Meter Data: Online And Federated Learning MN Fekri | | 2022 |
Katarina GrolingerWestern UniversityVerified email at uwo.ca
