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paper/paper.md

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 # Summary
 
-Data handling for energy system optimisation models is a necessary but tedious task. Depending on the workflow, user skill level, and model implementation, the data interfacing requirements can be significantly different. OSeMOSYS Tools for Energy Work, or otoole, is a Python package providing OSeMOSYS energy modellers with options to use different input data formats, visualize and validate input data, and process result data. otoole exposes three different input data formats to the user, can process result data from three popular solvers, and is designed to be modular and extensible to enable interoperability between OSeMOSYS models developed in different programming languages.
+Data handling for energy system optimisation models is a necessary but tedious task. Depending on the workflow, user skill level, and model implementation, the data interfacing requirements can be significantly different. OSeMOSYS Tools for Energy Work, or otoole, is a Python package providing OSeMOSYS energy modellers with options to use different input data formats, visualize and validate input data, and process result data. otoole exposes three different input data formats to the user, can process result data from four popular solvers, and is designed to be modular and extensible to enable interoperability between OSeMOSYS models developed in different programming languages.
 
 # Statement of need
 
-The Open Source energy MOdelling SYStem, or OSeMOSYS [@howells2011], is a highly cited and reputable open-source framework for conducting long-term energy system planning studies. The original, and still highly used, implementation of OSeMOSYS is formulated in the mathematical programming language, [GNU MathProg](https://github.com/OSeMOSYS/OSeMOSYS_GNU_MathProg). While MathProg [@GNULinearProgramming2012] is open-source, fitting with the ethos of OSeMOSYS, it requires all data to be stored in a single large and unwieldy text file. Data edits to this file are tedious, error-prone, and difficult to integrate into automated workflows. Furthermore, model result files are often difficult to interface with unless processing work is first performed. In addition to the MathProg implementation, OSeMOSYS has also been formulated in [PuLP]( https://github.com/OSeMOSYS/OSeMOSYS_PuLP), [Pyomo](https://github.com/OSeMOSYS/OSeMOSYS_Pyomo), [Julia JUMP](https://github.com/sei-international/NemoMod.jl) and [GAMS](https://github.com/OSeMOSYS/OSeMOSYS_GAMS). A software gap exists to provide OSeMOSYS modellers with an easy way to work with different input data formats and process result files.
+The Open Source energy MOdelling SYStem, or OSeMOSYS [@howells2011], is a highly cited and widely used open-source framework for conducting long-term energy system planning studies. The original, and still highly used, implementation of OSeMOSYS is formulated in the mathematical programming language, [GNU MathProg](https://github.com/OSeMOSYS/OSeMOSYS_GNU_MathProg). While MathProg [@GNULinearProgramming2012] is open-source, fitting with the ethos of OSeMOSYS, it requires all data to be stored in a single large and unwieldy text file. Data edits to this file are tedious, error-prone, and difficult to integrate into automated workflows. Furthermore, model result files are often difficult to interface with unless processing work is first performed. In addition to the MathProg implementation, OSeMOSYS has also been formulated in [PuLP]( https://github.com/OSeMOSYS/OSeMOSYS_PuLP), [Pyomo](https://github.com/OSeMOSYS/OSeMOSYS_Pyomo), [Julia JUMP](https://github.com/sei-international/NemoMod.jl) and [GAMS](https://github.com/OSeMOSYS/OSeMOSYS_GAMS). A software gap exists to provide OSeMOSYS modellers with an easy way to work with different input data formats and process result files.
 
-otoole supports three different input file formats: wide-format Excel files (pivoted on the year index), long-format CSV files, and GNU MathProg files. With otoole, users can convert between any of these formats to meet their skill level and workflow requirements. Furthermore, otoole can process result solution files from the open-source solver CBC [@forrest2022], and the commercial solvers Gurobi [@gurobioptimizationllcGurobiOptimizerReference2022] and CPLEX [@ibmCPLEXUsersManual2022], into tabulated CSV results.
+otoole supports three different input file formats: wide-format Excel files (pivoted on the year index), long-format CSV files, and GNU MathProg files. With otoole, users can convert between any of these formats to meet their skill level and workflow requirements. Furthermore, otoole can process result solution files from the open-source solvers GLPK [@GNULinearProgramming2012] and CBC [@forrest2022], and the commercial solvers Gurobi [@gurobioptimizationllcGurobiOptimizerReference2022] and CPLEX [@ibmCPLEXUsersManual2022], into tabulated CSV results.
 
 Additionally, otoole can visualize and validate input data. Through the visualization function, users can create a reference energy system from their input data, as shown in \autoref{fig:res}; this is a common step in energy modelling where a schematic is used to visualize the flow of energy. Moreover, if the input data follows a standardized naming scheme, the user can validate input data to quickly identify improperly named technologies and commodities and ensure energy flow paths are complete.
 
@@ -63,6 +63,6 @@ otoole is [deployed](https://pypi.org/project/otoole/) to the Python Packaging I
 pip install otoole
 ```
 
-A sample repository, titled [Simplicity](https://github.com/OSeMOSYS/simplicity), holds a simple OSeMOSYS model to demonstrate the functionalities of otoole. Instructions on the core functions of otoole, in addition to full examples, can be found on the [documentation site]( https://otoole.readthedocs.io/en/latest/).
+A sample repository, titled [Simplicity](https://github.com/OSeMOSYS/simplicity), holds a simple OSeMOSYS model to demonstrate the functionalities of otoole. Instructions on the core functions of otoole, in addition to examples using otoole through the command line and through the Python API can be found on the [documentation site](https://otoole.readthedocs.io/en/latest/).
 
 # References