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Storage","sub_category":"Battery","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"doc/img/GraphicalAbstract.svg\" /\u003e\n\u003c/p\u003e\n\n# Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models\n\n\nThe tool was created by [Volkan Kumtepeli](https://scholar.google.com/citations?user=Z43mRIsAAAAJ\u0026hl=en) at the Energy Research Institute at Nanyang Technological University\nin collaboration with Institute for Electrical Energy Storage Technology at the Technical University of Munich.\n\n\n## How to cite: \n\nV. Kumtepeli, HC. Hesse, M. Schimpe, A. Tripathi, Y. Wang, and A. Jossen,\nEnergy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models.\nIEEE Access, vol. 8, pp. 204325-204341, 2020. [Online]. Available:\nhttps://doi.org/10.1109/ACCESS.2020.3035504\n\n```\n@article{kumtepeli2020energy,\n  title={Energy Arbitrage Optimization With Battery Storage: 3D-MILP for Electro-Thermal Performance and Semi-Empirical Aging Models},\n  author={Kumtepeli, Volkan and Hesse, Holger C and Schimpe, Michael and Tripathi, Anshuman and Youyi, Wang and Jossen, Andreas},\n  journal={IEEE Access},\n  volume={8},\n  pages={204325--204341},\n  year={2020},\n  publisher={IEEE}\n  doi={10.1109/ACCESS.2020.3035504},\n  ISSN={2169-3536},\n}\n\n```\n\n\n## Dependencies / Requirements: \n\n* [Gurobi](https://www.gurobi.com/) 9.03\n* [YALMIP](https://yalmip.github.io/download/) R20200116\n* MATLAB \u003e=2017a for string operations and \u003e=2019a for readmatrix function.\n* [Robust Statistical Toolbox](https://github.com/CPernet/Robust_Statistical_Toolbox) (not used but may be necessary for some functions in RainCloudPlots library) \n* Partially provided external libraries: \n  - [RainCloudPlots](https://github.com/RainCloudPlots/RainCloudPlots)\n  - [cbrewer](https://www.mathworks.com/matlabcentral/fileexchange/34087-cbrewer-colorbrewer-schemes-for-matlab)\n  - [Custom Colormap](https://www.mathworks.com/matlabcentral/fileexchange/69470-custom-colormap)\n  - [MATLAB-Dataspace-to-Figure-Units](https://github.com/michellehirsch/MATLAB-Dataspace-to-Figure-Units)\n  - [Tight Subplot](https://www.mathworks.com/matlabcentral/fileexchange/27991-tight_subplot-nh-nw-gap-marg_h-marg_w)\n\n\n## How to use: \n\nRun Optimization_single.m or Optimization_batch.m file. 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