An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study

Citation Author(s):: Ana
Baringo

Luis
Baringo

Universidad de Castilla-La Mancha

José M.
Arroyo

Universidad de Castilla-La Mancha
Submitted by:: Luis Baringo
Last updated:: Tue, 09/28/2021 - 06:33
DOI:: 10.21227/kd17-cg26
Data Format:: *.pdf
License:: Creative Commons Attribution

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Categories:: Power and Energy
Keywords:: Adjustable robust optimization, expansion planning, nested column-and-constraint generation algorithm, Uncertainty, virtual power plant

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Abstract

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".

Instructions:

The data are included in the attached pdf.

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for research publication

Submitted by Rajkumar Joseph on Sun, 12/05/2021 - 01:05

I would like to use this data for a graduate school project.

Submitted by Daniel Duque on Sun, 09/22/2024 - 14:53

Dataset Files

Data Case Study.zip (125.82 kB)

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An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant: Data for the Case Study

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