Update macro-energy-systems.md

docs/macro-energy-systems.md

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 | **Title** | **Author / Year** | **Theme** | **Comment** |
 |-----------|-------------------|-----------|-------------|
 | [Macro-Energy Systems: Toward a New Discipline](https://www.sciencedirect.com/science/article/pii/S2542435119303617) | Levi et al. (2019) | Introduction | Defines macro-energy systems modeling |
-| [Leveraging open-source tools for collaborative macro-energy system modeling efforts]			(https://doi.org/10.1016/j.joule.2020.11.002) | DeCarolis et al. (2020) | Introduction | Answers to why we need the open-source approach to energy systems modeling |
-| [Power sector modeling 101]		(https://www.energy.gov/sites/prod/files/2016/02/f30/EPSA_Power_Sector_Modeling_FINAL_021816_0.pdf) | Boyd (2016) | Introduction | Introduces different types of power system models |
-| [Trends in tools and approaches for modelling the energy transition] 				(https://doi.org/10.1016/j.apenergy.2021.116731) | Chang et al. (2021) | Introduction | Surveys research areas in using energy systems model along with different tools in the market. It also discusses model coupling |
-| [The gap between energy policy challenges and model capabilities]				(https://doi.org/10.1016/j.enpol.2018.10.033) | Savvidis et al. (2019) | Introduction | Maps policy-relevant questions to modeling tools |
+| [Leveraging open-source tools for collaborative macro-energy system modeling efforts](https://doi.org/10.1016/j.joule.2020.11.002) | DeCarolis et al. (2020) | Introduction | Answers to why we need the open-source approach to energy systems modeling |
+| [Power sector modeling 101](https://www.energy.gov/sites/prod/files/2016/02/f30/EPSA_Power_Sector_Modeling_FINAL_021816_0.pdf) | Boyd (2016) | Introduction | Introduces different types of power system models |
+| [Trends in tools and approaches for modelling the energy transition](https://doi.org/10.1016/j.apenergy.2021.116731) | Chang et al. (2021) | Introduction | Surveys research areas in using energy systems model along with different tools in the market. It also discusses model coupling |
+| [The gap between energy policy challenges and model capabilities](https://doi.org/10.1016/j.enpol.2018.10.033) | Savvidis et al. (2019) | Introduction | Maps policy-relevant questions to modeling tools |
 | [Core process representation in power system operational models: Gaps, challenges, and opportunities for multisector dynamics research](https://doi.org/10.1016/j.energy.2021.122049) | Oikonomou et al. (2022) | Technical | Introduces and reviews production cost models |
-| [Linopy: Linear optimization with n-dimensional labeled variables]				(https://doi.org/10.21105/joss.04823) | Hofmann (2023) | Technical | Shortly describes optimization modeling frameworks and solvers |
-| [An open-source framework for balancing computational speed and fidelity in production cost models]	 (https://iopscience.iop.org/article/10.1088/2753-3751/ad1751) | Akdemir et al. (2024) | Technical | Introduces model reduction techniques |
+| [Linopy: Linear optimization with n-dimensional labeled variables](https://doi.org/10.21105/joss.04823) | Hofmann (2023) | Technical | Shortly describes optimization modeling frameworks and solvers |
+| [An open-source framework for balancing computational speed and fidelity in production cost models](https://iopscience.iop.org/article/10.1088/2753-3751/ad1751) | Akdemir et al. (2024) | Technical | Introduces model reduction techniques |
 | [Reinventing the energy modelling–policy interface](https://www.nature.com/articles/nenergy201612) | Strachan et al. (2016) | Challenges - policymaking | Energy modelling has a crucial underpinning role for policy making, but the modelling–policy interface faces several limitations. A reinvention of this interface would better provide timely, targeted, tested, transparent and iterated insights from such complex multidisciplinary tools |
-| [Does cost optimization approximate the real-world energy transition?]				(https://doi.org/10.1016/j.energy.2016.03.038) | Trutnevyte (2016) | Challenges - modeling | Describes uses of a bottom-up optimization model along with cautionary tales |
-| [Overcoming the disconnect between energy system and climate modeling]				(https://doi.org/10.1175/BAMS-D-20-0256.1) | Craig et al. (2022) | Challenges - climate variability | Describes the challenges of integrating energy systems to weather/climate modeling |
-| [Improving poverty and inequality modelling in climate research]				(https://www.nature.com/articles/s41558-017-0004-x)| Rao et al. (2017) | Challenges - energy justice | Current models used in climate research have a limited ability to represent the poor and vulner able, or the different dimensions along which they face these risks |
+| [Does cost optimization approximate the real-world energy transition?](https://doi.org/10.1016/j.energy.2016.03.038) | Trutnevyte (2016) | Challenges - modeling | Describes uses of a bottom-up optimization model along with cautionary tales |
+| [Overcoming the disconnect between energy system and climate modeling](https://doi.org/10.1175/BAMS-D-20-0256.1) | Craig et al. (2022) | Challenges - climate variability | Describes the challenges of integrating energy systems to weather/climate modeling |
+| [Improving poverty and inequality modelling in climate research](https://www.nature.com/articles/s41558-017-0004-x)| Rao et al. (2017) | Challenges - energy justice | Current models used in climate research have a limited ability to represent the poor and vulner able, or the different dimensions along which they face these risks |