The attached file include the data used in the case study of paper "An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant".

DOI Link: 
10.21227/kd17-cg26
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[1] Ana Baringo, Luis Baringo, José M. Arroyo, "An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/kd17-cg26. Accessed: Dec. 06, 2024.
@data{kd17-cg26-21,
doi = {10.21227/kd17-cg26},
url = {http://dx.doi.org/10.21227/kd17-cg26},
author = {Ana Baringo; Luis Baringo; José M. Arroyo },
publisher = {IEEE Dataport},
title = {An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study},
year = {2021} }
TY - DATA
T1 - An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study
AU - Ana Baringo; Luis Baringo; José M. Arroyo
PY - 2021
PB - IEEE Dataport
UR - 10.21227/kd17-cg26
ER -
Ana Baringo, Luis Baringo, José M. Arroyo. (2021). An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study. IEEE Dataport. http://dx.doi.org/10.21227/kd17-cg26
Ana Baringo, Luis Baringo, José M. Arroyo, 2021. An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study. Available at: http://dx.doi.org/10.21227/kd17-cg26.
Ana Baringo, Luis Baringo, José M. Arroyo. (2021). "An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study." Web.
1. Ana Baringo, Luis Baringo, José M. Arroyo. An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/kd17-cg26
Ana Baringo, Luis Baringo, José M. Arroyo. "An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study." doi: 10.21227/kd17-cg26