How to Use ChatGPT to Analyze Your Smart Meter Data

By the TexasPowerCost Editorial Team — independent Texas electricity analysis · Last reviewed October 18, 2026 · how we analyze plans

Last updated: October 18, 2026 · 6 min read

The one number that decides whether a free-nights plan is worth it is the share of your electricity you actually use at night — and your Smart Meter Texas data holds the answer. Computing it by hand is tedious. This is exactly the kind of number-crunching ChatGPT is good at, once you feed it a manageable export.

Why this works: you're giving the AI your real usage data, so it's summarizing facts, not guessing at rates. Just spot-check its arithmetic and strip anything identifying before you paste.

Step by Step

Export your data from Smart Meter Texas. Log in at smartmetertexas.com and download your usage — daily or hourly totals are easiest for AI; a full 15-minute interval year is usually too big to paste.
Trim and de-identify it. Remove your ESI ID, meter number and address. Keep a representative stretch — a few summer weeks and a few winter weeks show the seasonal pattern that matters.
Ask ChatGPT for your night-window share. Paste the data and ask: what percentage of my usage falls between 8pm and 6am (and any other window the plan uses), split summer vs winter?
Get a fixed-vs-TOU verdict. Give it the free-nights plan's daytime rate and a flat fixed rate, and ask which is cheaper at your night-share — and the breakeven percentage where they tie.
Verify and decide. Sanity-check the math, and remember delivery charges still apply to free-window kWh. Then confirm the plan on its EFL before switching.

A Prompt to Start With

Here is my Smart Meter Texas usage (kWh by hour, personal details removed). Calculate what percentage of my total usage falls between 8pm and 6am, split into summer and winter. Then, for a free-nights plan with a daytime rate of [DAY]¢/kWh versus a flat fixed plan at [FIXED]¢/kWh, tell me which is cheaper at my night-share and the breakeven percentage. Show your work. Data: [PASTE].

Don't want to do this by hand or with AI? The reliable path is still to compare plans at your real usage. Start with your ZIP →

Use your smart meter data (manual method) · Free nights & weekends, explained · Using AI to choose a plan

Common Questions

Can ChatGPT analyze my Smart Meter Texas data?

Yes, for the kind of summarizing and percentage math it does well — as long as you give it a manageable export. A full 15-minute interval file for a year is too large to paste; export daily or hourly totals, or a representative few weeks of summer and winter, and ChatGPT can calculate what share of your usage falls inside a free-nights window and give you a fixed-vs-time-of-use read. Spot-check its arithmetic, because AI can slip on large tables.

What share of my usage needs to be at night for a free-nights plan to pay off?

As a rule of thumb, roughly a third — but the exact breakeven depends on how much higher the plan's daytime rate is to fund the free hours. Give ChatGPT the plan's daytime and free-window rates along with your night-usage percentage and it can estimate the breakeven for that specific plan. And remember free nights waive the energy charge, not the TDU delivery charge, so those kWh are cheaper, not free.

Is it safe to give my smart meter data to AI?

The usage numbers themselves (kWh by hour or day) are not sensitive, but strip anything identifying first — your ESI ID, meter number, and address. Never paste account credentials into any AI tool. If you would rather nothing leave your device at all, do the night-window math by hand using our manual guide instead.