MAEP is a collection of tools for operation planning of power systems.
MAEP web interface is a tool for manage the optimization models of MAEP. This tool is an open-source application of free access through a web environment.
Userś manual: https://github.com/maep-tools/maep-documentation/blob/master/users_manual_eng.pdf
| Modules | Description | Repository |
|---|---|---|
| MAEP | Optimization model developed in Python | https://github.com/maep-tools/maep-sddp-sourcecode |
| FRONTEND | User web-interface application | https://github.com/maep-tools/maep-frontend |
| BACKEND | Backend API for MAEP's process management. | https://github.com/maep-tools/maep-backend |
To install MAEP it is necessary to have the following technical requirements:
- Server ubuntu 16.04 or higher.
- Minimum 512 GB of RAM.
- Minimum 2 GB hard drive.
This tool was developed by the Universidad de los Andes and has been supported and funded in part by the institutions mentioned below.
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Universidad de los Andes
- PhD. Ángela Cadena. Associate Professor in the Department of Electrical and Electronic Engineering. Research Group in Environment and Economy.
- PhD. Nicanor Quijano. Titular Professor in the Department of Electrical and Electronic Engineering. Research Group in Production Automation.
- Students:
- PhD. Candidate, José Morillo.
- MSc. Angélica Pedraza.
- Ing. David Piñeros.
- Ing. Santiago Blanco.
-
Universidad del Rosario: Faculty of Natural Sciences and Mathematics.
- PhD. Juan Fernando Pérez. Associate Professor in the Department of Applied Mathematics and Computer Science.
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Cornell University: Department of Biological and Environmental Engineering.
- PhD. C. Lindsay Anderson. Associated professor, Department of Biological and Environmental Engineering. AndersonLab Research Group.
-
Laurentian University: Department of Finance and Operations.
- PhD. Luckny Zéphyr. Assistant Professor in the Department of Finance and Operations.
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ISAGEN: Specific agreement No. 2. Interinstitutional framework agreement No. 47/353.
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CEIBA: Center for Interdisciplinary Studies in Basic and Applied Studies in Complexity
MIT Copyright 2018 MAEP
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.