[PRE REVIEW]: NEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operator

editorialbot commented 1 year ago

Submitting author: !--author-handle-->@prakaa@arfon<!--end-editor-- Reviewers: @mfleschutz, @amandadsmith Managing EiC: Kyle Niemeyer

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editorialbot commented 1 year ago

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editorialbot commented 1 year ago

Software report:

github.com/AlDanial/cloc v 1.88  T=0.36 s (179.3 files/s, 28495.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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Python                          17            495            856           2945
Jupyter Notebook                 3              0           1857           1310
Markdown                        17            377              0           1006
HTML                            19              0              0            722
YAML                             4             30             53            178
TeX                              1             18              0            163
TOML                             1             14             20             72
DOS Batch                        1              8              1             26
make                             1              4              7              9
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SUM:                            64            946           2794           6431
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gitinspector failed to run statistical information for the repository

editorialbot commented 1 year ago

Wordcount for paper.md is 968

editorialbot commented 1 year ago

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10/gcj9vc is OK
- 10.5334/jors.148 is OK
- 10.5281/zenodo.7697295 is OK
- 10.5281/zenodo.7467074 is OK
- 10.1016/j.joule.2022.01.004 is OK
- 10.25080/Majora-92bf1922-00a is OK
- 10.5281/zenodo.3509134 is OK

MISSING DOIs

- 10.4337/9781788979955.00017 may be a valid DOI for title: The Evolution of the European Model for Electricity Markets

INVALID DOIs

- None

editorialbot commented 1 year ago

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

kyleniemeyer commented 1 year ago

@editorialbot query scope

editorialbot commented 1 year ago

Submission flagged for editorial review.

kyleniemeyer commented 1 year ago

Hello @prakaa, thanks for your submission to JOSS. The editorial board is going to take a closer look to see if this meets our scope for research software and substantial scholarly effort, versus an API client/utility. This should take a week or two at most.

In the meantime, any additional context would be welcome.

prakaa commented 1 year ago

Hi @kyleniemeyer, thanks for your response and for taking the time to look at this.

I have tried to address some of these points below in the paper, but I hope this additional context below is useful:

I think the examples in the docs provide significant value to users.
- They are focused on forecast errors as this is likely of interest to many users. Since the scope of the package is wider than power system and electricity market forecast errors, functions that explicitly calculate these have not been implemented in the package itself.
- However the docs provide coded examples of how NEMSEER and sister packages can be used to calculate and characterise these errors
- An example: this online companion to a PESGM23 conference paper contains scripts that show that the researchers used code directly from the energy price convergence example in the docs.
Beyond the examples, the package's documentation also acts as a repository of otherwise disparate knowledge about the datasets.

Based on this, I think NEMSEER makes addressing research challenges significantly better (faster, easier, simpler) and assists researchers in extracting knowledge from large data sets. I think it's fair to say that a lot of this value is delivered not only through the package, but also through the accompanying documentation (with examples).

kyleniemeyer commented 1 year ago

Thanks @prakaa, we will proceed to review with this one. The next step is assigning an editor, then finding reviewers.

kyleniemeyer commented 1 year ago

@editorialbot invite @fraukewiese as editor

Hi @fraukewiese, could you edit this submission instead? It's alright if it takes some time before finding reviewers, while you wrap up other submissions you are handling.

editorialbot commented 1 year ago

Invitation to edit this submission sent!

fraukewiese commented 1 year ago

Thanks for the invitation. I have to decline this time.

kyleniemeyer commented 1 year ago

Hi @prakaa, apologies, but I have to place your submission on the waitlist, while we find an editor with availability to handle this. In the meantime, any potential reviewer suggestions are welcome.

prakaa commented 1 year ago

@kyleniemeyer thanks for letting me know, appreciate the JOSS editorial team is probably quite busy.

Potential reviewers: James Foster (https://github.com/jd-foster) and Changlong Wang (https://github.com/changlongw)

arfon commented 11 months ago

@editorialbot assign me as editor

editorialbot commented 11 months ago

Assigned! @arfon is now the editor

arfon commented 11 months ago

@editorialbot generate pdf

editorialbot commented 11 months ago

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

editorialbot commented 11 months ago

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

xuanxu commented 11 months ago

@editorialbot generate pdf

editorialbot commented 11 months ago

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

editorialbot commented 11 months ago

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before before considering asking the reviewers of these papers to review again for JOSS.

arfon commented 11 months ago

Apologies for all of the noise @prakaa! @xuanxu and I were debugging a small issue with GitHub Actions.

arfon commented 11 months ago

@mfleschutz @blthayer @amandadsmith – 👋 would any of you be willing to review this submission for JOSS? The submission under consideration is iNEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operator: https://github.com/UNSW-CEEM/NEMSEER

As previous authors of somewhat similar packages, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!

Many thanks Arfon

amandadsmith commented 11 months ago

@arfon I'd be interested

arfon commented 11 months ago

@amandadsmith – great, thanks! I'll open the actual review issues shortly (once I've identified a second reviewer). For now, please sit tight!

mfleschutz commented 11 months ago

@arfon I am not available this week but happy to review after that.

arfon commented 11 months ago

@editorialbot add @mfleschutz as reviewer

editorialbot commented 11 months ago

@mfleschutz added to the reviewers list!

arfon commented 11 months ago

@editorialbot add @amandadsmith as reviewer

editorialbot commented 11 months ago

@amandadsmith added to the reviewers list!

arfon commented 11 months ago

@editorialbot start review

editorialbot commented 11 months ago

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/5883.

arfon commented 11 months ago

@mfleschutz, @amandadsmith – thanks for agreeing to review this submission to JOSS. See you over in #5883 where the actual review will take place.

openjournals / joss-reviews

[PRE REVIEW]: NEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operator #5507

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