Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability

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doi:10.4121/19166285

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Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability

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This repository will contain the code for the paper:Veviurko, G.; Böhmer, W.; Mackay L.; de Weerdt, M. Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability, Energies 2022.

Keywords

DC microgrid

Electric vehicles (EV),

Optimization Algorithms

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Reference papers

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Author(s): Grigorii Veviurko, Wendelin Böhmer, Laurens Mackay, Mathijs de Weerdt
Published in Energies by MDPI AG in 2022, page: 1389
10.3390/en15041389

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Author(s): Ran Cheng, Chong Gao, Hao Li, Junxiao Zhang, Ye Huang
Published in International Journal of Advanced Computer Science and Applications by The Science and Information Organization in 2025
10.14569/ijacsa.2025.0160537

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Grigorii Veviurko

MdW

Mathijs de Weerdt

0000-0002-0470-6241

Wendelin Böhm

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Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability

Description

Reference papers

Journal articles1

Mentions

Journal articles1

Contributors

Member of community