Back
  1. Home
  2. Profile of Seyyedahmad Hosseiniqarehtapeh (UMONS)
Profil

Hosseiniqarehtapeh Seyyedahmad

Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique

ORCID
0000-0003-0789-3502
Main Referenced Co-authors
VALLEE, François  (9)
TOUBEAU, Jean-François  (8)
Amjady, Nima (7)
DE GREVE, Zacharie  (6)
Singh, Narender (3)
Main Referenced Keywords
Ancillary services (1); Deregulated energy market (1); Electrical and Electronic Engineering (1); Energy Engineering and Power Technology (1); Frequency containment reserve (1);
Main Referenced Disciplines
Electrical & electronics engineering (12)
Energy (3)

Publications (total 15)

The most downloaded
58 downloads
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. https://hdl.handle.net/20.500.12907/5839

The most cited

37 citations (OpenCitations)

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 https://hdl.handle.net/20.500.12907/44060

Singh, N., HOSSEINIQAREHTAPEH, S., De Kooning, J. D. M., Vallée, F., & Vandevelde, L. (2024). Load-aware operation strategy for wind turbines participating in the joint day-ahead energy and reserve market. IEEE Access, 1-1. doi:10.1109/access.2024.3350439
Peer Reviewed verified by ORBi

Hosseiniqarehtapeh, S., Toubeau, J.-F., Amjady, N., & Vallée, F. (2023). Day-Ahead Wind Power Temporal Distribution Forecasting With High Resolution. IEEE Transactions on Power Systems, 1-11. doi:10.1109/tpwrs.2023.3295915
Peer Reviewed verified by ORBi

Hosseiniqarehtapeh, S. (2023). Fluctuation-Aware Wind Power Scheduling in Day-ahead Energy
 and Reserve Markets [Doctoral thesis, UMONS - University of Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/46751

Hosseiniqarehtapeh, S., Toubeau, J.-F., De Grève, Z., Wang, Y., Amjady, N., & Vallée, F. (01 January 2023). Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power. IEEE Transactions on Power Systems, 38 (1), 85 – 99. doi:10.1109/TPWRS.2022.3155865
Peer Reviewed verified by ORBi

Singh, N., Hosseiniqarehtapeh, S., Kayedpour, N., De Kooning, J. D. M., De Grève, Z., Toubeau, J.-F., Vallée, F., Crevecoeur, G., & Vandevelde, L. (2022). Prediction-based Wind Turbine Operation for Active Participation in the Day-Ahead and Reserve Markets. In Proceedings 2022 IEEE Power and Energy Society General Meeting, PESGM 2022. IEEE. doi:10.1109/PESGM48719.2022.9917213
Peer reviewed

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 presentation]. 2022 IEEE Power & Energy Society General Meeting, Denver, United States.

Hosseiniqarehtapeh, S., De Grève, Z., Wang, Y., Amjady, N., Vallée, F., & Toubeau, J.-F. (2022). Data-Driven Multi-Resolution Probabilistic Energy and Reserve Scheduling of Wind Power.

Hosseiniqarehtapeh, S. (04 February 2022). Advance Generative Model for Scenario Generation of Wind Power Distributions With Hight Granularity [Paper presentation]. 18th EAWE PhD Seminar, Bruges, Belgium.

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 presentation]. 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 presentation]. 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., 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

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

Contact ORBi UMONS