Giter VIP home page Giter VIP logo

2model_demo's Introduction

Spine Toolbox two-models demo

Created by Erkka Rinne ([email protected]) and Juha Kiviluoma ([email protected]).

Requirements

Setting up

  1. Create a Python virtual environment using e.g. conda

    $ conda create -n spinetoolbox python=3.8
    $ conda activate spinetoolbox
    
  2. Browse to the dir where you downloaded Spine Toolbox and install it:

    (spinetoolbox) $ pip install -r requirements.txt
    
  3. Browse to dir MyJuliaModel in this project and initialize the Julia project

    MyJuliaModel (spinetoolbox) $ julia init.jl
    
  4. Launch Spine Toolbox:

    NOTE: Currently, Spine Toolbox has to be launched from the Julia project directory, in this case MyJuliaModel/.

    MyJuliaModel (spinetoolbox) $ spinetoolbox
    
  5. In Spine Toolbox settings, select dir MyJuliaModel as the Julia project on Tools page.

  6. In Spine Toolbox settings, select GAMS executable on Tools page. If you don't have GAMS, you can request a demo license or skip that part of the Toolbox workflow (https://www.gams.com/download/). GAMS version used for the demo is 24.1 (hopefully works with newer versions - it's very simple).

2model_demo's People

Contributors

jkiviluo avatar erkkar avatar

Watchers

 avatar

2model_demo's Issues

Export data to GAMS

Hi,
I have a keen interest in employing GAMS software as the backbone of my optimization engine for the spine toolbox. I'm currently in search of expert guidance concerning the configuration of exporter and importer/exporter settings. My specific query pertains to the process of extracting input parameters and establishing mappings within GDX files. Could you kindly furnish me with instructions on defining mapping specifications for parameters like demand or capacity? Your valuable assistance in this endeavour would be immensely appreciated.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.