Is your electricity bill
higher than it should be?
We estimate expected energy consumption from occupancy and weather, then combine it with the applicable rate structure and other bill components to estimate expected cost.
01
Occupancy
occupied rooms
02
Weather
actual temperatures
03
Expected bill
expected energy use, rate structure, and other charges
$62,000
04
Actual bill
amount billed
$71,000
14% above expected
Difference: $9,000
Flagged as an anomaly
We estimate expected energy consumption from occupancy and weather, then combine it with the applicable rate structure and other bill components to estimate expected cost. Demand charges follow peak kW on the bill; they are not inferred from monthly kWh alone. We surface the gap the model cannot explain.
When no one tracks electricity, the hotel pays the price.
A hotel consumes electricity around the clock, whether full or empty. Yet it is still managed the old way: one meter and one bill at a time, often after the money has already been spent.
Rooms sit empty. The meter does not.
Kitchens, elevators, pumps, and common areas keep running whether or not rooms are occupied. This base load never appears as a separate line item on the bill.
The true energy cost per occupied room remains unknown.
The bill shows a single total. Until cost is normalized per occupied room, comparisons between periods remain misleading.
Total kWh alone does not measure efficiency.
Comparing a busy July with a quiet November tells you little about efficiency. Occupancy must be normalized before performance can be assessed.
Additional costs and risks stay buried in the bill.
Demand-charge spikes, power-factor charges, and other rate-schedule items can all be buried in the bill. If they go unnoticed, the same costs can recur.
Consumption, occupancy and unit price on one timeline
These are the charts the platform builds from your bills and your occupancy report: monthly consumption, occupied rooms, expected consumption, the same month last year and the effective unit price per kWh.
When peak demand increases
A single demand spike can increase the demand-charge portion of a commercial electricity bill. Ynance tracks monthly peak demand alongside consumption and cost. Demand-charge structures vary by utility rate schedule.
Consumption and occupancy
Bars are monthly kWh and the blue line is the occupied rooms that month. The dashed grey line is the consumption expected from occupancy; months that deviate significantly from it are flagged in red.
Consumption and unit price history
Bars are monthly kWh, the dashed line is the same month last year and the orange line is the effective unit price per kWh.
Catch incorrect or avoidable charges before you pay
Electricity bills are long, and checking them line by line across several meters is not realistic by hand.
Every bill is read against its own utility rate schedule, peak demand, and consumption history, and the costs and risks that need review are surfaced: demand charges, power-factor charges, and missing periods.
Fewer billing errors, avoidable charges caught early, and recurring demand-charge costs identified.
Bill check
Findingto review
Amount billed
$20,932
Stay on the rate schedule that fits your load
Rate schedules and contract terms change, and a hotel’s load profile changes with the season.
You see how consumption splits across the time periods in your utility rate schedule — on-peak, off-peak, and shoulder where those quantities are available — and your effective unit cost is placed next to your own lowest-cost period.
A rate-schedule conversation that starts from your own consumption profile.
Load profile and unit cost
Example schedule≈ $9,320 if this gap continues for 12 months
Budget the next period from your occupancy plan
Energy budgets are usually built from last year’s totals, which quietly carry last year’s occupancy into this year’s plan.
Once the base load and the consumption of one additional occupied room are known, expected consumption and cost follow from the occupied rooms you plan and the season you expect.
Energy budgets you can defend, built on your own base load and occupancy plan.
Expected consumption — July
3,900 occupied rooms planned55,380kWh
Expected cost — July
occupancy and weather model$15,230
Six analyses generated from your electricity bills
All six use your electricity bills; two also use your occupancy data.
The data you need is already in the bill
We extract meter, consumption, and cost data from each bill, and from connected utility data where it is available.
- Account number, meter-reading period, and billed days
- On-peak, off-peak, and shoulder kWh, where available on the bill or connected utility data
- Peak demand (kW) and demand charges
- Energy, demand, delivery, taxes, and other bill components — split out when they are billed as a single line
Electricity bill
ExampleUtility bill
Why did the bill change?
We break the change in total cost into price and consumption effects and compare it with the same period last year.
- Price and consumption effects shown in both currency and percentage terms
- Compared with the same period last year
- Energy, demand, delivery, taxes, and other bill components, split out when they are billed as a single line
Why did the bill change?
ExampleTotal change
+$10,750 (18.4%)
vs. the same period last year
+$7,750
+$3,000
Consumption per occupied room
Total consumption reflects both seasonality and occupancy. Total consumption per occupied room is a better indicator of how efficiently the property is operated.
- Total kWh and cost per occupied room
- Base load: consumption independent of occupancy
- Electricity cost of one additional occupied room
- Year-over-year comparison adjusted for occupancy
Consumption breakdown
ExampleTotal kWh per occupied room
14.2 kWh
Per additional occupied room
3.9 kWh
When a bill falls outside the expected range
Expected energy consumption is estimated from occupancy and actual weather. Expected cost combines that volume with the applicable rate structure and other bill components. Periods that fall outside the expected range are automatically flagged.
- Expected kWh from occupancy and temperatures, then expected cost from the rate structure and other billed charges
- Difference from the actual bill, shown in dollars
- Statistically meaningful deviations flagged automatically
- Your most and least efficient periods, side by side
Expected vs. actual
ExampleExpected: occupancy and weather model
Load profile by rate period
Where the bill or connected utility data reports time-of-use quantities, Ynance maps consumption to the periods in your rate schedule — on-peak, off-peak, and shoulder where they apply. That profile helps determine whether a different rate schedule may be more cost-effective.
- On-peak, off-peak, and shoulder shares, where available on the bill or connected utility data
- On-peak-heavy profiles flagged automatically
- Consumption and rate-period distribution by meter
Load profile by rate period
ExampleFindings in plain English
You do not have to interpret the charts. The platform explains each finding and estimates its financial impact.
- Demand charge after a peak-demand spike
- Power-factor charges where they appear on the bill
- Unit-cost difference compared with your lowest-cost period
- Periods with missing invoices
Findings
ExampleWhat we measure
Metrics are calculated from your electricity bills. Occupancy and weather data are used where relevant for room-based and expected-consumption analyses.
Bill and cost
- Total consumption (kWh)
- Total billed cost
- Effective unit price
- Energy, demand, delivery, taxes, and other bill components (split out if combined on the bill)
- Price and consumption effects
- Change vs. the same period last year
Occupancy and room metrics
- Total kWh per occupied room
- Total cost per occupied room
- Base load (kWh/day)
- Consumption of one additional occupied room
- Expected cost and actual deviation
- Model fit (R²)
By account and meter
- Account / meter number
- Consumption and billed cost by meter
- Share of total billed cost
- Peak demand (kW) and demand charges
- On-peak, off-peak, and shoulder kWh, where available
- Power-factor charges where billed
Three steps — and the first is automatic
Your utility bills are captured automatically
Bills from connected sources are imported into Ynance automatically. PDF and emailed bills can also be processed directly.
Upload the occupancy report
Export the occupancy report from your PMS and upload it as-is. Date and occupied-room fields are detected automatically.
Your analysis is ready
Your overview and room-level analyses are prepared automatically. Filter the results by date range or meter.
Occupancy data is only required for room-level analysis.
Frequently asked questions
Do we need to install meters or hardware?
No. Core analyses use data from your electricity bills, and from connected utility data where it is available: account number, meter-reading period, consumption, peak demand, and cost components. On-peak, off-peak, and shoulder kWh are used where the bill or connected data reports them. Nothing needs to be installed on site.
How is the expected bill calculated?
We estimate expected energy consumption from occupancy and weather, then combine it with the applicable rate structure and other bill components to estimate expected cost. A hot August and a mild one are not held to the same kWh expectation. Demand charges follow peak kW on the bill; two months with the same kWh can still have different demand charges.
Our billing periods do not align with calendar months. Is that a problem?
No. Each billing period is distributed across the relevant months on a daily basis. When a bill only partly overlaps the selected date range, only the overlapping days are counted.
Why compare with the same period last year instead of the previous month?
On a seasonal property, comparing consecutive periods makes a change in occupancy look like a change in efficiency. Comparing with the same period last year largely holds seasonality constant.
What can we see without occupancy data?
Consumption, billed cost, effective unit price, load profile, meter-level breakdown and all bill findings. Occupancy data is only required for room-level analysis.
Is total consumption per occupied room the same as the consumption of one additional occupied room?
No. Total consumption per occupied room divides total consumption, base load included, by occupied rooms. The consumption of one additional occupied room is the average extra use after base load is separated.
What if an invoice is missing?
The period is detected and drawn faint on the chart. It is excluded from comparisons and from the model, and listed as a finding. A missing invoice is never read as a drop in consumption.
How many meters are supported?
There is no limit. Consumption is reported per account, and meters can be viewed individually or together.
Start with the invoices you already have
Two years of electricity bills are enough to get started. See the results using your own data in a 30-minute demo.
Already a customer? Go to Spend → Electricity Consumption.