Add @kdheepak's JuliaCon talks to Open Energy Models (#159)

Author: odow

_posts/2024-09-19-open-energy-models.md

@@ -100,6 +100,11 @@ to JuMP (if you will) around:
  18. [[2017] Stochastic programming in energy systems](#2017-stochastic-programming-in-energy-systems)
  19. [[2017] PowerModels.jl: a Brief Introduction](#2017-powermodelsjl-a-brief-introduction)
 
+There are also a few related JuliaCon talks
+
+ 20. [[2020] Crash Course in Energy Systems Modeling & Analysis with Julia](#2020-crash-course-in-energy-systems-modeling--analysis-with-julia)
+ 21. [[2019] Open Source Power System Production Cost Modeling in Julia](#2019-open-source-power-system-production-cost-modeling-in-julia)
+
 ## [2024] Applied optimization with JuMP at SINTEF
 
 _Speaker: Truls Flatberg @trulsf_
@@ -573,6 +578,10 @@ Well, in his [2024 talk](#2024-solving-the-market-to-market-problem-in-large-sca
 he mentioned that Sienna now runs on problems with 150,000 buses. It's nice to
 see progress!
 
+@kdheepak's talks at [JuliaCon 2019](#2019-open-source-power-system-production-cost-modeling-in-julia)
+and [JuliaCon 2020](#2020-crash-course-in-energy-systems-modeling--analysis-with-julia)
+are also about PowerSimulations.jl and go into complementary detail.
+
 [_Back to contents_](#contents)
 
 ## [2017] Stochastic programming in energy systems
@@ -626,3 +635,40 @@ the various relaxations and approximations of AC power flow. This decision has
 proven to be a very good design choice.
 
 [_Back to contents_](#contents)
+
+## [2020] Crash Course in Energy Systems Modeling & Analysis with Julia
+
+_Speaker: Dheepak Krishnamurthy @kdheepak_
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/kQNOG4tGJdg?si=QvTPbIQncBgr37Ev" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+
+This is a short talk by @kdheepak about PowerSimulations.jl. The "crash course"
+in the title is rather apt, because it walks through how to build an run a power
+system optimization model in eight minutes. It was useful to watch this video in
+conjunction with the other PowerSimulations.jl videos such as
+[[2024] Solving the Market-to-Market Problem in Large Scale Power Systems](#2024-solving-the-market-to-market-problem-in-large-scale-power-systems),
+[[2019] PowerSimulations.jl](#2019-powersimulationsjl), and
+[[2019] Open Source Power System Production Cost Modeling in Julia](#2019-open-source-power-system-production-cost-modeling-in-julia).
+
+[_Back to contents_](#contents)
+
+## [2019] Open Source Power System Production Cost Modeling in Julia
+
+_Speaker: Dheepak Krishnamurthy @kdheepak_
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/1TipY6g9IzE?si=cbTPZb4Sq_Pt6zW7" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+
+This is a talk by @kdheepak about PowerSimulations.jl, which Jose Daniel
+[presented at JuMP-dev 2019](#2019-powersimulationsjl). Using a small example,
+Dheepak goes into more detail around how PowerSimulations.jl uses Julia's
+multiple dispatch to build the optimization problems.
+
+There was an interesting question at the end related to how we document models.
+@sstroemer mentioned this as well in [his talk](#2023-how-jump-enables-abstract-energy-system-models).
+Stefan's answer as to write out the models in some form of abstract LaTeX. JuMP
+used to print out a compressed form of the model, but we changed to writing out
+the scalarized form during the change to MOI because the compressed form
+required too many hacks for work and required a lot of maintenance. I'm not sure
+what we should do going forward.
+
+[_Back to contents_](#contents)