AI for climate: a real world test

Catalyst · 15 Jun 2023 · 1h 19m

AI in practice: one real use of AI described

What this episode covers

Duncan Campbell, vice president at Scale Microgrids, and Seyed Madaeni, CEO of Verse, test whether a non-coder can use ChatGPT-4 to build battery dispatch software. Campbell iteratively prompts the model to create a Python optimizer for a 25MW battery in the CAISO market, successfully generating code that retrieves historical prices and calculates optimal charge/discharge schedules. Madaeni evaluates the resulting code, noting its clarity and optimization logic while highlighting missing complexity like ancillary services and forecasting. The episode demonstrates that AI can significantly accelerate the development of analytical tools for energy markets, reducing a task that would take engineers weeks to hours for a domain expert.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationChatGPT

Duncan Campbell iteratively prompted ChatGPT to build a battery dispatch script from scratch, teaching it constraints and logic through detailed natural language descriptions and debugging errors, resulting in a functional Python notebook.

“I actually tried to give some examples too, with some like basic, just arithmetic to demonstrate what's at work and let it interpret how to turn arithmetic into algebra. Yeah, I tried to really sort of describe how it all should work up front.”

Duncan Campbell · Hear it at 19:56

Mentioned

Companies
Verse, Fluence, Tesla
Tools
ChatGPT, Grid Status
Also
CAISO

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