aidataenergyhomepython
July 2026 Active

Georgia Power Analysis

Pulled 13 months of Georgia Power bills and 10,487 hourly usage readings to find out what actually drives our electric bill. The answer wasn't the peak-hour window everyone optimizes for — it was Saturday evenings.

Open live project

Built with

Python
Python

What It Is

I pulled 13 months of Georgia Power bills and 10,487 hourly kWh and temperature readings for our house and built an interactive dashboard to answer one question: what actually drives the bill?

We’re on the Smart Usage rate plan, which most people read as “avoid 2–7pm on summer weekdays.” That’s the on-peak energy window, and it’s real, but it turned out to be the smaller half of the story.

What I Found

Smart Usage has a second component: a demand charge, set by the single worst one-hour draw of the month — any hour, any day. Not just the 2–7pm window. Which means pre-cooling the house before 2pm saves on-peak energy costs but does nothing for demand if the worst load lands on a Saturday evening.

And it does. 19 of our top 20 highest single-hour reads were off-peak, mostly evenings and weekends. The June 2026 demand charge was set on a Saturday at 6pm at 92°F. The culprit is almost always the same combination: the HVAC compressor and the dryer running in the same hour on a hot day.

Over 13 billing periods, 90 hours exceeded 4 kW — and only 7 of those were on-peak. Weekends alone accounted for 59% of them.

What Changed

The analysis produced a concrete Skyport schedule for our Daikin system: pre-cool to 70°F before the 2pm on-peak window, set back to 77°F during it, and let thermal mass carry the house. Weekends get pre-cooling too on any day forecast above 85°F. And the one rule that matters most costs nothing: never run the dryer while the HVAC is actively cooling.

The Dashboard

The full interactive dashboard — monthly trends, hourly patterns, demand drivers, and the HVAC schedule — is live at dimadimadima.com/power.

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