Cost & Forecast¶
The Cost & Forecast page gives finance and operations teams visibility into electricity spend and projected consumption. It is accessible from the EMS sidebar between Sections and Maximum Demand.
The page has two tabs: Cost Analysis and 30-Day Forecast.
Cost Analysis tab¶
The Cost Analysis tab shows tariff-based electricity cost for EB and DG incomers. Each source is shown separately — EB and DG costs are never added together, so you can always see how much of the spend comes from the grid versus the generator.
Source cost cards¶
One card per paid source (EB, DG). Each card shows that source's:
| Figure | What it shows |
|---|---|
| Month to date (large) | Cost incurred so far in the current calendar month |
| Last month | Total cost for the previous calendar month |
| YTD | Total cost from the start of the current year to today |
| Avg / mo | Average monthly cost over the months with data in the last 6 months |
Currency is read from the tariff configuration (e.g., ₹ for INR).
No tariff configured
If no tariff has been assigned to your EB or DG incomers, an amber notice will appear and all cost cards will show "—". Tariffs are configured in the main Enture Platform tariff module and assigned to machines there. See Configuration → Tariff & Cost for details.
Monthly cost trend chart¶
A grouped bar chart shows the cost for each of the last 6 calendar months, with one bar per source (EB, DG) side by side — so each source's trend is visible on its own, not merged. A donut chart alongside shows the year-to-date cost split between sources.
Cost detail table¶
A table below the charts lists each month with a separate cost column per source, plus a total:
| Column | Description |
|---|---|
| Month | Calendar month (e.g., May 2025) |
| EB Cost / DG Cost | Tariff-based cost for that month, per source |
| Total | Sum of the source costs for that month |
| Units (kWh) | Total energy consumed that month |
| Effective Rate | Derived rate (cost ÷ units) — useful for understanding blended tariff impact |
The table is sorted most-recent-first. Months with no data are omitted.
30-Day Forecast tab¶
The Forecast tab projects EB (grid) consumption for the next 30 days using statistical smoothing on recent history.
How the forecast works¶
The platform uses exponential smoothing (α = 0.3) with day-of-week seasonal adjustment:
- The last 90 days of daily EB consumption are used as the training window.
- Each day of the week (Monday through Sunday) has its own seasonal factor, derived from how that weekday's historical average compares to the overall daily average. This captures production patterns (e.g., Sundays typically lower, mid-week higher).
- The smoothed forecast is multiplied by the day's seasonal factor to produce a daily kWh estimate.
- A confidence band (±1.5σ) is calculated from the residuals of the last 30 actuals, giving an upper and lower bound for each forecast day.
Insufficient data¶
If less than 30 days of EB history exists (or no EB incomers are configured), the tab shows a notice instead of a chart. In that case, check that EB incomers are set up in Configuration → Incomers Setup and that the meters have been logging data for at least 30 days.
KPI cards¶
| Card | What it shows |
|---|---|
| 30-Day Forecast | Total projected EB consumption over the next 30 days (kWh) |
| Projected Cost | Estimated cost based on the forecasted kWh and the effective tariff rate |
| Confidence Band | Average daily uncertainty (±kWh), based on ±1.5 standard deviations |
| Forecast Horizon | Number of days in the forecast window (30 by default) |
Forecast chart¶
A combined chart shows:
- Solid blue line — Actual daily EB consumption for the past 90 days
- Dashed amber line — Forecasted daily consumption for the next 30 days
- Orange shaded band — Confidence interval (±1.5σ) for the forecast days
- Vertical dashed line — Today's date, separating actuals from forecast
Use the Show confidence band toggle to hide or show the shaded region.
Interpreting the forecast
The forecast captures typical weekly patterns and recent trend direction. It does not account for planned shutdowns, public holidays, or unusual production changes. If a shutdown is planned, the actual consumption will fall below the lower bound of the confidence band on those days — which is expected.