MODELING OF THE DOMINICAN REPUBLIC ENERGY SYSTEMS WITH OSeMOSYS TO ASSESS ALTERNATIVE SCENARIOS FOR THE EXPANSION OF RENEWABLE ENERGY SOURCES

@article{Quevedo2022MODELINGOT,
  title={MODELING OF THE DOMINICAN REPUBLIC ENERGY SYSTEMS WITH OSeMOSYS TO ASSESS ALTERNATIVE SCENARIOS FOR THE EXPANSION OF RENEWABLE ENERGY SOURCES},
  author={Jarrizon Quevedo and Idalberto Herrera Moya},
  journal={Energy Nexus},
  year={2022}
}

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OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling

This paper presents a methodological framework for an empirical deterministic–stochastic modeling approach to utilize large real-world datasets in long-term energy systems modeling and adds the feature of Monte Carlo simulations to the existing open-source energy modeling system (the OSeMOSYS modeling framework).

Are open source energy system optimization tools mature enough for serious use?

World Energy Outlook 2020

  • R. Eden
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