Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Okay. So Duncan, you do this second attempt that is building up the story a little bit more for the model. It is defining the parameters a little bit more clearly. What are you getting as a result of that as you're going along and how is it adapting?
A Yeah. So that, that first result I get from, from this approach, um, you know, I, I give it my like eight paragraph sort of description of, Of optimizing battery scheduling, um, is, is definitely more specific than what I got before, right? It actually, you know, picks certain Python packages to use, shows you how to import them and name them. It's defining the variables. It's like actually producing a, whether or not it works, like a script that is sort of fully developed, right? Um, I think you relatively quickly, you know, like, just like in the bug shot approach, it's like, okay, cool. I'm going to copy and paste the script into Jupyter Notebooks and see what happens, right? And you get errors, right? It's not, like, ready to roll. Um, and some of the errors are, like, obvious. Others are challenging to deal with. Um, but anyway, yeah, this approach at least produces something that is, like, on the path to usable as opposed, as opposed to just, like, a sketch of what you should do.
AI assessment note: “that first result I get from, from this approach... is definitely more specific”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q Right. So, okay, so at this point in the endeavor, like, what do you have? What is, what is this thing? What is the code that ChatGPT has given you able to do?
A Yeah, so after that, we got, um, any period of time working beyond 24 hours. Just whatever amount of, of, of prices you fed it, whether those Be historical, forecasted, whatever. It would do it for that long. We, yeah, we got it hooked up to grid status so that it could just pull those prices. Um, and in theory you could pull for other nodes very easily too. I kind of hard coded in this, this particular trading hub, but you could put any of them in. Um, oh, then once we finally got the optimizer, like really working, you know, every little edge case that was going wrong was solved. You know, another big challenge is what do you do with it, right? Just the fact that the optimizer worked is one thing, but like actually parsing all of that, that schedule you've created and present creating outputs that are useful and charts is its own whole like finicky journey. So then I started digging into all of that and that is challenging. Um, and that actually took longer because that's all just about like Knowing Plotly and all of its functions and all the syntax to use, and I don't know any of that. Um, so that was its own, like, long journey of annoyance.
AI assessment note: “we got it hooked up to grid status so that it could just pull those prices”
