Energy Analytics Views
In the Energy section of the Analytics Portal, you can choose different views to change how your data is visualized.
How to navigate
- Analytics Portal > Portfolio > Analytics > Energy > View
Landlord-Tenant Split
Use this view to separate energy data into landlord‑controlled vs. tenant‑controlled. When enabled, this view introduces dedicated visualizations for:
- Energy use intensity (EUI)
- Total energy consumption
- Data coverage
The split is based on how meters are classified in the platform (tenant‑controlled vs. landlord‑controlled).
Suggested use
- Develop targeted tenant engagement campaigns
- Identify who contributes most to energy usage and by how much
- Prioritize efficiency measures
Normalization
- See detailed methodology in the normalizations article.
Weather‑based normalization
- Must be enabled in Data Collection Portal > Settings
- Method: Uses heating degree days (
HDD) and cooling degree days (CDD) to normalize usage against long‑term averages of the assigned weather station.
- Application: Applied at the Asset‑level when
Allocated weather stationis set under Asset details.
- Use case: Helps isolate the impact of operational efficiency measures by filtering out weather‑driven variability.
Time‑based normalization
- Purpose: Extrapolates consumption to represent a full calendar year.
- Where used: Portfolio‑level Energy use intensity and Total consumption graphs.
- Method:
- For total consumption:
Normalized value = Reported consumption / % of year with data- For EUI:
Normalized EUI = Reported consumption / % of year with data / Active area
- Alignment: GRESB outlier methodology (resource‑level coverage).
Occupancy‑based normalization
- Purpose: Adjusts consumption to reflect 100% occupancy.
- Where used: Portfolio‑level Energy use intensity and Total consumption graphs.
- Method:
- For total consumption:
Normalized value = Reported consumption / Average occupancy rate- For EUI:
Normalized EUI = Reported consumption / Average occupancy rate / Active area
- Alignment: GRESB outlier methodology.
Time + occupancy‑based normalization
- Purpose: Adjusts for both time and occupancy.
- Where used: Portfolio‑level energy graphs.
- Method:
- For total consumption:
Reported consumption / % of year with data / Average occupancy rate- For EUI:
Reported consumption / % of year with data / Average occupancy rate / Active area
- Alignment: GRESB outlier methodology.
