Modelling input data for the case studies of the paper "Strategic bidding in light-robust day-ahead electricity markets"

This data package includes the modelling input data to replicate the results of the case studies included in the paper "Strategic bidding in light-robust day-ahead electricity markets".  This supplementary data package includes the following files: -        Meta Data – Input data: Dataset...

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Hauptverfasser: Silva-Rodriguez, Lina, Sanjab, Anibal, FUMAGALLI, ELENA MARIA, Gibescu, Madeleine
Format: Dataset
Sprache:eng
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Zusammenfassung:This data package includes the modelling input data to replicate the results of the case studies included in the paper "Strategic bidding in light-robust day-ahead electricity markets".  This supplementary data package includes the following files: -        Meta Data – Input data: Dataset containing the input data for the strategic bidding behavior problem. It includes bids from conventional, demand and stochastic players and the scenarios for system imbalance and real-time production. -        Readme.txt: Includes a detailed description of the data packages   Sources of data: * Ordoudis, C., Pinson, P., Morales, J. M., & Zugno, M. (2016). An updated version of the IEEE RTS 24-bus system for electricity market and power system operation studies. Technical University of Denmark. * Silva-Rodriguez, L., Sanjab, A., Fumagalli, E., Virag, A., & Gibescu, M. (2022). A light robust optimization approach for uncertainty-based day-ahead electricity markets. Electric Power Systems Research, 212, 108281. https://doi.org/10.1016/J.EPSR.2022.108281                                                            * Derived (scaled down) from Elia. (2024). Open data. Retrieved from https://www.elia.be/en/grid-data/open-data                                        * Own data                                                                
DOI:10.5281/zenodo.11406403