@cyrildorsaz
PG&E recently introduced a new hourly rate plan that brings dynamic pricing to electricity. This fundamentally changes the economics of charging an EV, with generation rates dropping as low as $0.01 per kWh—a stark contrast to the typical ~$0.30.
Alongside this, PG&E released an API to check real-time pricing. That got me thinking: how easy would it be to build a simple dashboard to track prices and optimize charging?
With AI, the entire process was surprisingly fast. I had it generate the code in minutes, followed step-by-step deployment instructions, and ended up with a functional dashboard that:
• Displays daily prices
• Highlights the four cheapest hours
• Highlights the four most expensive hours
• Allows users to download the data as a CSV for further analysis
Give it a try: pgehourly.streamlit.app
This is a great example of how AI can assist people with no coding skills in building their own tools to meet their needs.
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