Correlation between consumption and weather.
Understanding increases in bills can be challenging, especially if the locations are in other places.
Imagine your most expensive sites are in Boston, which you notice during winter. Determining the root cause of that bill increase could take some.
The Pear.ai Platform's weather sensitivity feature helps you understand the correlation between consumption and weather.
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Climate sensitive locations.
We suggest using two years of data to better estimate the correlation between consumption and weather.
The weather sensitivity report will allow you to see the most weather-sensitive buildings. Enabling you to determine which locations are the least and most correlated with weather events.
This report shows:
- If your locations are climate-sensitive
- Total Cooling Degree Days (CDD)
- Heating Degree Days (HDD)
- Average monthly consumption vs. degree days.
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