changes publication.md, added draft-pdf.yml

.github/workflows/draft-pdf.yml

+on: [push]
+
+jobs:
+  paper:
+    runs-on: ubuntu-latest
+    name: Paper Draft
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+      - name: Open Journals PDF Generator
+        uses: openjournals/openjournals-draft-action@v.1.0
+        with:
+          journal: joss
+          # This should be the path to the paper within your repo.
+          paper-path: paper.md
+      - name: Upload
+        uses: actions/upload-artifact@v1
+        with:
+          name: paper
+          # This is the output path where Pandoc will write the compiled
+          # PDF. Note, this should be the same directory as the input
+          # paper.md
+          path: paper.pdf
\ No newline at end of file

publication/publication.md

@@ -10,34 +10,34 @@ authors:
     orcid: 0000-0002-2624-9598
     equal-contrib: # do we need this?
     corresponding: true
-    affiliation: "1, 2, 4" # (Multiple affiliations must be quoted)
+    affiliation: "1, 2, 3, 6" #
   - name: Jingyu Gong
     orcid:
-    affiliation: "1, 2, 4"
+    affiliation: "1, 2, 3, 6"
   - name: Jonas van Ouwerkerk
     orcid:
-    affiliation: "1, 2, 3, 4"
+    affiliation: "1, 2, 3, 6"
   - name: Felix Wege
     orcid:
-    affiliation: 5 # also 3?
+    affiliation: "4, 6"
   - name: Yi Nie
     orcid:
-    affiliation: 6 # also 3?
+    affiliation: "5, 6"
   - name: Jonas Brucksch
     orcid:
-    affiliation: "1, 2, 4"
+    affiliation: "1, 2, 3, 6"
 affiliations:
   - name: Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Campus-Boulevard 89, 52074 Aachen, Germany
     index: 1
   - name: Institute for Power Generation and Storage Systems (PGS), E.ON ERC, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany
     index: 2
-  - name: Research Campus Flexible Electrical Grids (FEN), RWTH Aachen University, Campus-Boulevard 79, 52074 Aachen, Germany
-    index: 3
   - name: Jülich Aachen Research Alliance, JARA-Energy
-    index: 4
+    index: 3
   - name: Institute for Automation of Complex Power Systems, E.ON ERC, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany
-    index: 5
+    index: 4
   - name: Institute for Energy Efficient Buildings and Indoor Climate, E.ON ERC, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany
+    index: 5
+  - name: Research Campus Flexible Electrical Grids (FEN), RWTH Aachen University, Campus-Boulevard 79, 52074 Aachen, Germany
     index: 6
 date: 4 August 2022
 bibliography: paper.bib
@@ -45,17 +45,8 @@ bibliography: paper.bib
 
 # Summary
 
-Sustainable decarbonization of the energy sector may be achieved through the use of 
-novel technologies and approaches for an integrated coupling of available energy carriers, 
-the upgrade of energy conversion, and the involvement of individual prosumers. The arising 
-decentralized power system is complex, its operation is challenging, and the economic 
-efficiency of technologies depends on their interconnection and applications. This evokes 
-the need for special tools for holistic observations of this new energy system to support 
-business decisions, identify boundary conditions for urban planning, as well as discover 
-entirely new possiblities and approaches.
-
-Within the scope of the InEEd-DC project, a software framework for a flexible and dynamic 
-creation of optimization problems with a focus on multi energy sector coupling is developed. 
+FEN Framework [change name] is a software framework for the flexible and dynamic 
+formulation of optimization problems with a focus on multi energy sector coupling. 
 To broaden the view of multi energy systems, traditional energy sectors including AC electricity, 
 heat, cooling and gas, are extended by modern energy sectors like DC electricity and hydrogen.
 
@@ -74,8 +65,8 @@ generate the mathematical optimization model, a Prosumer class is instantiated w
 certain configuration inputs, such as the regarded components and their interconnection, a 
 set of time series including weather data and energy price information, as well as  the 
 optimization strategy of interest and additional regulatory settings. The Prosumer 
-then distributes the input data between the \verb|EMS| class, representing an energy management 
-system, and the requiried \verb|Component| classes implementing the required component models, 
+then distributes the input data between the EMS class, representing an energy management 
+system, and the required Component classes implementing the required component models, 
 before orchestrating them to build the actual optimization model consisting of optimization 
 variables, constraints and one or more objective functions. Depending on the received inputs, 
 different types of optimization programs can be generated that way. Two possible use cases 
@@ -108,7 +99,7 @@ account the balancing mechanisms among the city quarters.
 
 In parallel to the actual development of the underlying models, complexity reduction 
 techniques like temporal aggregation of the input time series are studied and integrated
-at the framework level contiously during the project timeline. This allows ensuring feasible 
+at the framework level continuously during the project timeline. This allows ensuring feasible 
 execution times for the optimization of large scale scenarios.
 
 In addition, the fact that the EMS and the corresponding energy storage devices are included in 
@@ -123,27 +114,18 @@ district likewise. The combination of a modular topology configuration and the f
 definition of an optimization strategy offers the possibility of modeling both technical 
 relationships and political regulations.
 
+[Cite literature where models are taken from, cite demandlib, cite pyomo, cite pareto optimization mavrotas]
+[expandable framework with new component models]
 # Statement of need
 
-`Gala` is an Astropy-affiliated Python package for galactic dynamics. Python
-enables wrapping low-level languages (e.g., C) for speed without losing
-flexibility or ease-of-use in the user-interface. The API for `Gala` was
-designed to provide a class-based and user-friendly interface to fast (C or
-Cython-optimized) implementations of common operations such as gravitational
-potential and force evaluation, orbit integration, dynamical transformations,
-and chaos indicators for nonlinear dynamics. `Gala` also relies heavily on and
-interfaces well with the implementations of physical units and astronomical
-coordinate systems in the `Astropy` package [@astropy] (`astropy.units` and
-`astropy.coordinates`).
-
-`Gala` was designed to be used by both astronomical researchers and by
-students in courses on gravitational dynamics or astronomy. It has already been
-used in a number of scientific publications [@Pearson:2017] and has also been
-used in graduate courses on Galactic dynamics to, e.g., provide interactive
-visualizations of textbook material [@Binney:2008]. The combination of speed,
-design, and support for Astropy functionality in `Gala` will enable exciting
-scientific explorations of forthcoming data releases from the *Gaia* mission
-[@gaia] by students and experts alike.
+Sustainable decarbonization of the energy sector may be achieved through the use of 
+novel technologies and approaches for an integrated coupling of available energy carriers, 
+the upgrade of energy conversion, and the involvement of individual prosumers. The arising 
+decentralized power system is complex, its operation is challenging, and the economic 
+efficiency of technologies depends on their interconnection and applications. This evokes 
+the need for special tools for holistic observations of this new energy system to support 
+business decisions, identify boundary conditions for urban planning, as well as discover 
+entirely new possiblities and approaches.
 
 # Citations