The Utility Monthly Estimator builds a complete 12-month electricity usage profile (in kWh) for a home — even when you don't have all 12 months of utility bills.
The Core Idea
Enter whatever monthly kWh values you have. The tool fills in the missing months using two anchors: your real data to set the scale, and a regional seasonal curve to shape how usage rises and falls across the year. Every month is clearly labeled as Known or Estimated.
How the Estimation Works
1
Region Selection
Choose a US region. Each region has its own seasonal "shape" — the Southwest peaks in summer from AC load; the Northwest peaks in winter from electric heat. This shapes how the missing months curve.
2
Calibration to Real Data
The tool compares your entered months against the regional curve to derive a scale factor — essentially "this home uses X times more or less than the regional average." That multiplier is then applied to fill every missing month, so estimates are grounded in the actual home's usage level, not just a generic number.
3
Three Optional Fine-Tuning Sliders
Found under Prediction Adjustments — these let you shape how the estimates behave:
| Slider | What It Does |
|---|
| Seasonality Strength | How strongly estimates follow the seasonal curve. High = strong summer/winter peaks. Low = relatively flat year-round. |
| Base Load Floor | Sets a minimum "always-on" usage level (lights, fridge, devices). Prevents estimates from dropping unrealistically low in mild months. |
| Curve Smoothing | Softens sharp jumps between estimated months so the profile looks like a natural curve rather than jagged steps. |
What You Get
- A bar chart of all 12 months — solid bars are real data, lighter bars are estimates
- Summary cards: annual total, monthly average, peak month, and a confidence indicator
- A monthly breakdown table with each value labeled Known or Estimated
- A CSV export of the full profile for use in proposals or system sizing
💡 In plain terms: Enter whatever bill data you have, pick a region, and the tool scales the rest of the year to match that home's actual usage habits and typical seasonal patterns for that climate — giving you a defensible full-year estimate even with incomplete data.
