See your end-of-month energy bill mid-month, built from the measured consumption series, the day-of-week pattern and outdoor-temperature sensitivity.
Consumption measured from the start of the month is the base of the projection. Last year is only a reference for the seasonal pattern.
Temperature-consumption correlation coefficients are learned from facility data. Hot/cold weather is immediately reflected in the updated forecast.
In hospitals, hotels, and shopping centres, occupancy rate directly affects consumption. Included in the forecast via API or manual input.
Actual consumption from the first week of the month is applied as a projection coefficient for the remaining weeks.
Explore the system with your own data in a demo session.