| Wind Power Forecasting Q Chen, K Folly IFAC PapersOnLine 51 (28), 414-419, 2018 | 63 | 2018 |
| Application of artificial intelligence for EV charging and discharging scheduling and dynamic pricing: A review Q Chen, KA Folly Energies 16 (1), 146, 2022 | 60 | 2022 |
| Comparison of three methods for short-term wind power forecasting Q Chen, KA Folly 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 24 | 2018 |
| Effect of input features on the performance of the ANN-based wind power forecasting Q Chen, K Folly 2019 Southern African Universities Power Engineering Conference/Robotics and …, 2019 | 18 | 2019 |
| Short-Term Wind Power Forecasting Using Mixed Input Feature-Based Cascade-connected Artificial Neural Networks Q Chen, KA Folly Frontiers in Energy Research 9 (634639), 1-12, 2021 | 17 | 2021 |
| Impact of renewable energy and dynamic pricing on electric vehicles charging Q Chen, K Folly 2022 30th Southern African Universities Power Engineering Conference (SAUPEC …, 2022 | 7 | 2022 |
| Short-term wind power forecasting based on spatial correlation and artificial neural network Q Chen, K Folly 2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020 | 4 | 2020 |
| Short-term wind power forecasting using artificial neural networks-based ensemble model Q Chen | | 2020 |
Komla FollyUniversity of Cape TownPatvirtintas el. paštas uct.ac.za