Transparent, rule-based projection. See the variance between your budget and actual consumption line by line; every estimation step is traceable, not a black box.
In large facilities the energy bill is one of the biggest controllable operating cost items. But the real figure is not known until month-end; budget deviations are only understood when the invoice arrives.
The Argus Budget module is not a “black-box AI”: it compares the set budget against actual consumption every day and shows the direction (favourable/unfavourable) and magnitude of the variance line by line (electricity, water, gas). Which item caused the variance is transparent; the detailed forecasting algorithm is explained on the projection page.
No black box. Budget and target tracking rest on the same measurement; where every figure comes from is visible, and the variance is drilled down to the responsible line item.
The annual or monthly budget is entered by line item (electricity kWh + cost, water m³, gas). If you prefer, it is derived automatically from last year's actuals plus a percentage increase. Seasonality is preserved when the budget is spread across months; the winter gas and summer cooling weighting is reflected according to the real distribution.
Daily actual consumption is computed from meter and transformer readings. For the current month, the end-of-month expectation is updated by prorating the real trend over the elapsed days.
Variance = Actual − Budget; shown both in absolute terms (TL, kWh) and as a percentage. The direction (favourable/unfavourable) is separated by colour code; an alarm is raised when the threshold is exceeded. Monthly values also accumulate into the cumulative annual variance, so the year-end budget-closing risk becomes visible early.
Which item (electricity or gas), which building, or which department drove the variance is drilled down. So the question 'why did the bill rise?' is answered with data, not guesswork.
Explore the system with your own data in a demo session.