Weather normalization is a statistical method for adjusting data or metrics to account for variations in weather conditions, particularly in the context of energy use for heating and cooling purposes.

Weather normalization establishes a relationship between a building's energy consumption and the external temperature, which allows for energy consumption analysis. That is, weather normalization adjusts energy usage data to reflect what the consumption would have been under typical or average weather conditions in your city. This adjustment helps identify trends or anomalies in energy usage that are not solely due to changes in weather patterns.

The process of weather normalization typically involves using at least 12 months worth of historical data, including temperature, humidity, or degree days, along with algorithms to calculate the expected energy usage for a given period under typical weather conditions. By comparing the normalized data to actual observed data, you can better understand the true drivers of changes in your building's energy consumption, helping you make informed decisions about saving energy and costs as well as accommodating changes in occupancy.