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open_eGo: open electricity Grid optimization

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This project can be added when it goes live at the end of August 2016. RobbieIanMorrison (talk) 16:39, 21 July 2016 (UTC)[reply]

 Done. RobbieIanMorrison (talk) 12:05, 26 September 2016 (UTC)[reply]
The project seems to have been removed. It was clearly present at one point as indicated. In any case, the project is now known as oGon. RobbieIanMorrison (talk) 09:11, 18 October 2024 (UTC)[reply]

Split page in due course: Open energy systems data

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Given that open energy system data projects are on the increase, this page could be split in due course to yield a new Open energy systems data page. RobbieIanMorrison (talk) 12:05, 26 September 2016 (UTC)[reply]

 Done. Please see Open energy system databases. RobbieIanMorrison (talk) 10:47, 4 February 2017 (UTC)[reply]

Spanish wholesale power market data

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The following Spanish initiative could be a possible addition to the open data section in due course. Best wishes. RobbieIanMorrison (talk) 20:32, 5 October 2016 (UTC)[reply]

  • "PriceProfor Engine: Iniciativa abierta para el modelado, el anĆ”lisis y la explotación de datos de precios del Mercado mayorista elĆ©ctrico EspaƱol" [PriceProfor Engine: open initiative for modeling, analysis, and exploitation of price data from the Spanish wholesale power market] (in Spanish). Retrieved 2016-10-05.
 Not done. Shifted comment to the open energy system databases article. RobbieIanMorrison (talk) 10:56, 4 February 2017 (UTC)[reply]



Further models

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Open energy system modeling projects that could be added in due course
Project Model type Academic publications License details Code published Comments
AMIRIS java-based agent-based modeling framework Apache 2.0 GitLab to add
COMANDO python modeling framework beyond MILP MIT GitLab instance to add
CREST spreadsheet-based micro-energy system model CC BY-ND 3.0 cannot add, the ND variant is not an open license
DDPP spreadsheet-based energy system model no not specified
deeco high-resolution energy system modeling framework GPLv2 to add   (although project abandoned 2005)
Einstein single-site analysis GPLv3 to add
EnergyNumbers–
Balancing
interactive electricity system model no GLPv3
energyRt model from United States written in R no AGPLv3.0 need to confirm license status
ETHOS.FINE Framework for Integrated Energy System Assessment MIT GitHub to add
FlexTool Power system flexibility for the energy transition LGPLv3+ request access to add
Friendly Sam energy system optimization toolbox not known LGLPv3 GitHub license needs to be added to codebase
GCAM Global Change Analysis Model IAM ECL-2.0 GCAM Core to add
GENeSYS-MOD global energy system model (based on OSeMOSYS) Apache 2.0 GitLab instance to add
GnuAE GNU alternative household energy systems no GLPv2 to add
GridCal Research oriented power system software LGPLv3 GitHub
GridPath Versatile power-system planning platform Apache 2.0 GitHub to add
Grid Sim browser based public education model Apache 2.0 GitHub to add   (an initiative by google)
highRES GAMS-based model for Great Britain and Europe MIT GitHub to add
M-LED multi-sectoral latent electricity demand platform MIT GitHub to add
mat-dp material demand projections model MIT GitHub to add
MultiMod large-scale equilibrium model of global energy markets not specified not yet first top-down model?
OMEGAlpes district scale model Apache 2.0 GitLab
open_plan decentralized systems with emphasis on built environment no AGPLv3 GitHub
OpPoDyn research on the dynamics of networks and power grids GPLv3 GitHub to add
PLEXOS Open EU based on proprietary PLEXOS software not specified not yet
PowSyBl Power System Blocks no MPL-2.0 GitHub to add
Rogeaulito projected accounting model for global energy not specified publication indicates open license, have emailed the developers
Spine energy system model to add
SpineOpt energy system model to add
StELMOD stochastic optimization model for European electricity markets MIT to add
TIMES Model Generator framework maintained by ETSAP GPL‑3.0‑or‑later to add
WWS project based at Standford University MIT to add
  • Academic publications: pending or published academic literature or the presence of secondary sources is used as a criteria for inclusion in the article.
  • License details: projects must specify their license first (spreadsheet projects are prone to not doing so).
  • Code published: lists projects that have indicated their intention to make their code public but have not yet done so.
  • Blank cells indicate an affirmative.


Change log


References

  1. ^ Platt, John C; Pritchard, J Orion; Bryant, Drew (8 August 2017). "Analyzing energy technologies and policies using DOSCOE". Available at SSRN. SSRN 3015424. Retrieved 2017-10-02. 24 pages. Describes the Grid Sim model.
  2. ^ Chang, Miguel; Thellufsen, Jakob Zink; Zakeri, Behnam; Pickering, Bryn; Pfenninger, Stefan; Lund, Henrik; Ƙstergaard, Poul Alberg (15 May 2021). "Trends in tools and approaches for modelling the energy transition". Applied Energy. 290: 116731. doi:10.1016/j.apenergy.2021.116731. ISSN 0306-2619. Retrieved 2021-05-08.{{cite journal}}: CS1 maint: article number as page number (link) Open access icon
  3. ^ Satheeskumar, Aravind (7 September 2020). Open source model of the Nordic Power System for EU Project Spine (PDF). Stockholm, Sweden: School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. Retrieved 2021-01-27.
  4. ^ Welder, Lara; Ryberg, D Severin; Kotzur, Leander; Grube, Thomas; Robinius, Martin; Stolten, Detlef (1 September 2018). "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany". Energy. 158: 1130–1149. doi:10.1016/j.energy.2018.05.059. ISSN 0360-5442. Closed access icon
  5. ^ Gƶke, Leonard (1 November 2021). "A graph-based formulation for modeling macro-energy systems". Applied Energy. 301: 117377. doi:10.1016/j.apenergy.2021.117377. ISSN 0306-2619. Retrieved 2021-08-11.{{cite journal}}: CS1 maint: article number as page number (link)
  6. ^ Zozmann, Elmar; Gƶke, Leonard; Kendziorski, Mario; Rodriguez del Angel, Citlali; von Hirschhausen, Christian; Winkler, Johanna (January 2021). "100% renewable energy scenarios for North America—spatial distribution and network constraints". Energies. 14 (3): 658. doi:10.3390/en14030658. ISSN 1996-1073. Retrieved 2021-08-12.{{cite journal}}: CS1 maint: unflagged free DOI (link) Open access icon
  7. ^ "open_plan". Retrieved 2021-09-08.
  8. ^ Langiu, Marco; Shu, David Yang; Baader, Florian Joseph; Hering, Dominik; Bau, Uwe; Xhonneux, AndrĆ©; Müller, Dirk; Bardow, AndrĆ©; Mitsos, Alexander; Dahmen, Manuel (1 September 2021). "COMANDO: a next-generation open-source framework for energy systems optimization". Computers & Chemical Engineering. 152: 107366. arXiv:2102.02057. doi:10.1016/j.compchemeng.2021.107366. ISSN 0098-1354. Retrieved 2021-11-02.{{cite journal}}: CS1 maint: article number as page number (link) Closed access icon
  9. ^ Linux Foundation. "Power System Blocks". Linux Foundation. San Francisco, California, USA. Retrieved 2021-11-16.
  10. ^ Hodencq, Sacha; Brugeron, Mathieu; Fitó, Jaume; Morriet, Lou; Delinchant, Benoit; Wurtz, FrĆ©dĆ©ric (January 2021). "OMEGAlpes, an open-source optimisation model generation tool to support energy stakeholders at district scale". Energies. 14 (18): 5928. doi:10.3390/en14185928. ISSN 1996-1073. Retrieved 2022-04-03.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  11. ^ Falchetta, Giacomo; Stevanato, Nicolò; Moner‑Girona, Magda; Mazzoni, Davide; Colombo, Emanuela; Hafner, Manfred (July 2021). "The M-LED platform: advancing electricity demand assessment for communities living in energy poverty". Environmental Research Letters. 16 (7): 074038. doi:10.1088/1748-9326/ac0cab. ISSN 1748-9326. Retrieved 2022-01-20.
  12. ^ Lƶffler, Konstantin; Hainsch, Karlo; Burandt, Thorsten; Kemfert, Claudia; von Hirschhausen, Christian (2017). "Designing a model for the global energy system — GENeSYS-MOD: an application of the Open-Source Energy Modeling System (OSeMOSYS)" (PDF). Energies. 10 (1468). doi:10.3390/en10101468. ISSN 1996-1073. Retrieved 2018-05-09.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  13. ^ Bartholdsen, Hans-Karl; Eidens, Anna; Lƶffler, Konstantin; Seehaus, Frederik; Wejda, Felix; Burandt, Thorsten; Oei, Pao-Yu; Kemfert, Claudia; von Hirschhausen, Christian (January 2019). "Pathways for Germany's low-carbon energy transformation towards 2050". Energies. 12 (15): 2988. doi:10.3390/en12152988. ISSN 1996-1073. Retrieved 2019-08-05.{{cite journal}}: CS1 maint: unflagged free DOI (link) Open access icon
  14. ^ Taibi, Emanuele; Nikolakakis, Thomas; Gutierrez, Laura; Fernandez, Carlos; Kiviluoma, Juha; Lindroos, Tomi J; Rissanen, Simo (November 2018). Power system flexibility for the energy transition: Part II: IRENA FlexTool methodology (PDF). Abu Dhabi: International Renewable Energy Agency (IRENA). ISBN 978-92-9260-089-1. Retrieved 2021-05-07.
  15. ^ Ihlemann, Maren; Kouveliotis-Lysikatos, Iasonas; Huang, Jiangyi; Dillon, Joseph; O’Dwyer, Ciara; Rasku, Topi; Marin, Manuel; Poncelet, Kris; Kiviluoma, Juha (1 September 2022). "SpineOpt: a flexible open-source energy system modelling framework". Energy Strategy Reviews. 43: 100902. doi:10.1016/j.esr.2022.100902. ISSN 2211-467X. Retrieved 2022-07-28.{{cite journal}}: CS1 maint: article number as page number (link) Open access icon
  16. ^ Barron, Karla Cervantes; Cullen, Jonathan M (22 August 2022). "Mat-dp: an open-source python model for analysing material demand projections and their environmental implications, which result from building low-carbon systems". Journal of Open Source Software. 7 (76): 4460. doi:10.21105/joss.04460. ISSN 2475-9066. Retrieved 2022-09-06. Open access icon
  17. ^ Bergero, Candelaria; Binsted, Matthew; Younis, Osama; Davies, Evan G R; Siddiqui, Muhammad-Shahid; Xing, Rui; Arbuckle, Evan J; Chiappori, Diego V; Fuhrman, Jay; McJeon, Haewon; Macaluso, Nick (1 May 2022). "Technology, technology, technology: an integrated assessment of deep decarbonization pathways for the Canadian oil sands". Energy Strategy Reviews. 41: 100804. doi:10.1016/j.esr.2022.100804. ISSN 2211-467X. Retrieved 2022-10-04.{{cite journal}}: CS1 maint: article number as page number (link)
  18. ^ Morrison, Robbie (19 February 2023). "Update on the TIMES ecosystem". Open Energy Modelling Initiative. Germany. Retrieved 2023-02-21. Blog. Open access icon
  19. ^ UCL (4 June 2018). "highRES". UCL Energy Institute. London, United Kingdom. Retrieved 2024-08-26.
  20. ^ Plietzsch, Anton; Kogler, Raphael; Auer, Sabine; Merino, Julia; Gil-de-Muro, Asier; Liße, Jan; Vogel, Christina; Hellmann, Frank (1 January 2022). "PowerDynamics.jl — An experimentally validated open-source package for the dynamical analysis of power grids". SoftwareX. 17: 100861. doi:10.1016/j.softx.2021.100861. ISSN 2352-7110. Retrieved 2024-08-31.{{cite journal}}: CS1 maint: article number as page number (link) Open access icon
  21. ^ Klütz, Theresa; Knosala, Kevin; Behrens, Johannes; Maier, Rachel; Hoffmann, Maximilian; Pflugradt, Noah; Stolten, Detlef (20 January 2025). "ETHOS.FINE: a framework for integrated energy system assessment" (PDF). Journal of Open Source Software. 10 (105): 6274. doi:10.21105/joss.06274. ISSN 2475-9066. Retrieved 2025-02-03.

Likely AI generated material

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Hi - I added the AI generated tag to this article, as the edits by RobbieIanMorrison display several indications of LLM use and thus need extra review for accuracy/hallucinations, sourcing issues, editorializing/non-neutral tone and synthesis, and the like. Gnomingstuff (talk) 22:09, 6 October 2025 (UTC)[reply]

@Gnomingstuff: could you expand on that? @RobbieIanMorrison: did you use LLMs to help write some of the stuff in this article?
Let's see if we can work towards removing the tag at some point. —Femke 🐦 (talk) 17:32, 28 November 2025 (UTC)[reply]
Absolutely not. I think that tag is not warranted is this case. I have never used Google search to help write text. I have never used ChatGPT at all, ever. I might occasionally run a sentence or two through DeepL Write more recently to see if the text could be better framed. Perhaps someone could give an example of the "offending" material? That would really help me to comment specifically. I should add that I have worked in this field for 30 years. And I have read all the sources I have cited. Interesting times, I guess! Best, RobbieIanMorrison (talk) 18:05, 28 November 2025 (UTC)[reply]
And can we compare timestamps? I would guess that most of that article was written prior to LLMs being available. RobbieIanMorrison (talk) 18:07, 28 November 2025 (UTC)[reply]
DeepL is a large language model tool. Therefore I have restored the tag, as it is warranted on the grounds of AI use literally being confirmed. "Interesting times" indeed.
The primary visible problem is AI editorializing -- asking AI to "better frame" something is turning over the article prose to synthesis and original research, resulting in such AI-characteristic text like highlighting the need to reduce coal consumption, highlighted the need to coordinate infrastructure policies and import strategies. Which carries several issues:
  • It's the exact same kind of superficial editorializing that AI produces for virtually any topic (see WP:AISIGNS, "Superficial analyses" and "AI vocabulary" sections)
  • It is opinion stated in wikivoice; your idea of a "need" may not be my idea of a "need," which is probably not the person reading this's idea of a "need" either. The people holding the opinion, in this case, are the researchers of the study cited. However...
  • AI-generated text like this tends either to be not backed up by the source at all, or an overly close paraphrase of the source material. The second statement is the latter, as it is almost verbatim from the study cited. And that's just one clause; to "work toward removing the tag," any text written, "better framed," or otherwise touched by LLM tools needs to be similarly scrutinized.
And no, this kind of text was not present in versions prior to widespread AI availability. Gnomingstuff (talk) 14:02, 3 December 2025 (UTC)[reply]
Fellow Wikipedia editors: can we gain some perspective please? Firstly:
  • LLMs can be used in a number of ways, ranging from improving grammar to generating entire texts from a single prompt
  • my use of DeepL.Write, if indeed deployed when contributing to this article, would have been limited solely as an aid to single sentence formulation
Can someone point to Wikipedia policy that relates to this use‑case of sentence-by-sentence formulation assistance under fine‑grain human agency?
More specifically, relative to this article:
  • by my estimate, I could have utilized DeepL.Write for the GENeSYS and RAMP sections (but I have no record, of course, of having done that)
  • by my estimate, I could have utilized DeepL.Write for five or more one sentence edits (the exact number is hard to gauge)
  • any such usage by me would have been restricted to single sentences under careful control
  • the change log shows that 84% percent of article commits predate November 2022, a date used by German academics to mark the public uptake of LLMs
  • I am responding directly because I have authored circa 90% of this article
I want to repeat that I have never used AI to generate text, as normally understood, when editing Wikipedia. Never.
The example in the previous reply regarding the term "highlighting" is bizarre in my view — with each usage backed up by a separate peer‑reviewed article. Those sentences are also separated in the text and do not run together as implied earlier. Both cited publications use the term "highlight*" multiple times (counts: Burandt et al (1 December 2019): 6, Hainsch et al (15 January 2022): 11). The example quoted is indeed the kind of framing that predated LLMs. And, yes, it is acceptable and probably desirable to use phrasings from the original sources when editing articles (without violating copyright of course).
I find the the use of assertions presented as certainties and the reverse burden‑of‑proof evident in this discussion somewhat problematic.
Finally, I did not confirm my use of DeepL.Write when editing this article. That is a misrepresentation that should be corrected (@Gnomingstuff: please note). @Femke: FYI. Best, RobbieIanMorrison (talk) 16:56, 3 December 2025 (UTC)[reply]
by my estimate, I could have utilized DeepL.Write for five or more one sentence edits (the exact number is hard to gauge)
I want to repeat that I have never used AI to generate text, as normally understood, when editing Wikipedia. Never.
So which is it, then? Gnomingstuff (talk) 17:05, 3 December 2025 (UTC)[reply]
There's a difference between generating completely new text (which has a high hallucination rate), and copyediting (which has a low hallucination rate, and hallucinations are easier to spot as you know what the source says). I do the second sometimes, even though I have no patience for the former. —Femke 🐦 (talk) 17:10, 3 December 2025 (UTC)[reply]
There's a difference, but the above comment consists of hundreds of words Gish galloping through minor nitpicks (no shit, those two quotations that don't syntactically fit together are in fact two separate quotations?) while carefully talking around what was and was not done.
As far as the specific issue with the stuff I mentioned (which are only two examples out of who knows how many): If someone states an opinion, that opinion must be attributed to the source, not stated in wikivoice. This is policy, per WP:NPOV: Usually, articles will contain information about the significant opinions that have been expressed about their subjects. However, these opinions should not be stated in Wikipedia's voice. Rather, they should be attributed in the text to particular sources, or where justified, described as widespread views, etc. For example, an article should not state that genocide is an evil action but may state that genocide has been described by John So-and-so as the epitome of human evil. It just so happens that AI violates WP:NPOV in this specific way all the time. Gnomingstuff (talk) 17:16, 3 December 2025 (UTC)[reply]
Some finesse is necessary. "As normally understood" refers to generative AI — where a single prompt can produce an entire research report. DeepL.Write is a service that improves grammar and framing under human agency. Very different use cases. I could not have included (quoting from the AI template) "hallucinated information, copyright violations, claims not verified in cited sources, original research, or fictitious references". That is simply not possible under my potential usage   and I stress "potential" usage. Therefore the AI tag should be removed because it cannot apply. RobbieIanMorrison (talk) 17:22, 3 December 2025 (UTC)[reply]
As someone who does copyedit with AIs, hallucinations do happen in this use case still, even though they tend to be more subtle. AIs occasionally change the meaning of sentences when they copyedit. —Femke 🐦 (talk) 17:24, 3 December 2025 (UTC)[reply]
Sure, DeepL.Write can change the meaning. But I check what I use of course. And that is exactly what I am claiming (given that I did use DeepL.Write for the cited example). Best RobbieIanMorrison (talk) 17:32, 3 December 2025 (UTC)[reply]
Policy Wikipedia:LLMCOMM "does not apply to using LLMs to refine the expression of one's authentic ideas". That is exactly the case here in the context of possibly a very few edits or perhaps no edits. I am going to remove the AI tag in 24 hours time, unless I hear further arguments to the contrary. Best RobbieIanMorrison (talk) 18:25, 3 December 2025 (UTC)[reply]
Three days or so have passed and I am just about to remove that AI tag. Stepping back, the process I experienced as a longtime Wikipedia editor, as documented above, has left a bad taste in my mouth. Wikipedia needs to improve these processes for identifying and rectifying the inappropriate use of generative AI, which I don't doubt is a problem. The apparent current "shoot first and ask questions later" AI policy seems at odds with the normal ethos of Wikipedia. In any case, I found the preceding discussion quite difficult. Best, RobbieIanMorrison (talk) 11:15, 7 December 2025 (UTC)[reply]
 Done The certain=yes qualifier on the AI-generated template was especially unwarranted.
Again, as a longstanding editor, I would really like to be believed when I make considered statements. Best, RobbieIanMorrison (talk) 11:23, 7 December 2025 (UTC)[reply]