Singh, N., Hosseiniqarehtapeh, S., Kayedpour, N., De Kooning, J., De Grève, Z., Toubeau, J.-F., Vallée, F., Crèvecoeur, G., & Vandevelde, L. (2022). Prediction-based Wind Turbine Control for Active Participation in the Day-Ahead and Reserve Markets. Paper presented at 2022 IEEE Power & Energy Society General Meeting, Denver, United States. |
 | Hosseiniqarehtapeh, S., Toubeau, J.-F., De Grève, Z., Wang, Y., Amjady, N., & Vallée, F. (2022). Data-Driven Multi-Resolution Probabilistic Energy and Reserve Scheduling of Wind Power. IEEE Transactions on Power Systems.  Peer Reviewed verified by ORBi |
Hosseiniqarehtapeh, S., Toubeau, J.-F., Singh, N., De Kooning, J., Kayedpour, N., Crèvecoeur, G., De Grève, Z., Vallée, F., & Vandevelde, L. (2021). Impact Of Fast Wind Fluctuations On The Profit Of A Wind Power Producer Jointly Trading In Energy And Reserve Markets. Paper presented at The 9th IET International Conference on Renewable Power Generation, RPG 2021, Dublin, Ireland. |
| Hosseiniqarehtapeh, S., Toubeau, J.-F., De Grève, Z., & Vallée, F. (04 October 2020). An Advanced Day-Ahead Bidding Strategy Model for Wind Power Producers Considering Confidence Level on the Real-Time Reserve Provision. Applied Energy, 280 (December 2020), 1-14. Peer Reviewed verified by ORBi |
Hosseiniqarehtapeh, S., Toubeau, J.-F., & Vallée, F. (05 March 2020). On the Impact of Oversimplified Power Curves in the Optimal Bidding Strategy of Wind Power Producer Taking Part in A Joint Energy & Reserve Market. Poster session presented at BERA PhD Day on Wind Energy, Het Pand, Ghent, Belgium. |
| Hosseiniqarehtapeh, S., Amjady, N., Shafie-khah, M., & Catalão, J. S. (2016). A new multi-objective solution approach to solve transmission congestion management problem of energy markets. Applied Energy, 165, 462-471. doi:10.1016/j.apenergy.2015.12.101 Peer Reviewed verified by ORBi |
 | Hosseiniqarehtapeh, S., Amjady, N., & Velayati, M. H. (2015). A Fourier Based Wavelet Approach Using Heisenberg’s Uncertainty Principle and Shannon’s Entropy Criterion to Monitor Power System Small Signal Oscillations. IEEE Transactions on Power Systems, 30 (6), 3314-3326. doi:10.1109/TPWRS.2014.2377180 Peer Reviewed verified by ORBi |
| Velayati, M. H., Amjady, N., & Hosseiniqarehtapeh, S. (2015). EVALUATION OF GENERATORS' PARTICIPATION FACTOR CAPABILITY TO IDENTIFY THE SMALL SIGNAL OSCILLATIONS TYPE OF POWER SYSTEM USING ANALYTICAL METHOD AND SIMULTANEOUS PREDICTION BY NEURAL NETWORK. Journal of Modeling in Engineering. Peer reviewed |
| Velayati, M., Amjady, N., & Hosseiniqarehtapeh, S. (2015). Prediction of Generators' Participation Factors and Oscillation Types for Dominant Oscillatory Modes of Power System. Electric Power Components and Systems, 43 (15), 1727-1740. doi:10.1080/15325008.2015.1057779 Peer Reviewed verified by ORBi |
