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After a model run completes, review results on the dashboard. Processing runs as a scheduled job, so metrics may appear after the hourly cycle updates KODE OS. For the methods behind these results, see Energy modeling and M&V.

Savings and charts

The dashboard summarizes performance against the , as shown below.
Energy M&V dashboard for One Financial Plaza showing Total Energy Savings of 779,797.11 kWh, Total Energy Savings Percentage of 3.15 percent, a Metrics table comparing Actual versus Adjusted Baseline for District Steam and Electric with Savings and Percent Savings rows, a 2022 Retrofits filter, and an Energy Consumption and Savings Analysis bar chart with an Operation Date marker

M&V results dashboard showing total savings, metrics table, and consumption chart

  • Totals: View total energy savings, percent savings, and breakdown views where the UI provides them.
  • Trends: Compare baseline period history, savings over time, and adjusted baseline versus actual series.
  • Interval models: Drill into hourly savings when your model uses interval data.

Summary tab

Open the summary tab for the meters, points, model type, and variables used in the run. You also see accuracy metrics and an acceptable or not acceptable status. For what R-squared, CV-RMSE, and MAPE mean and their thresholds, see Model accuracy thresholds.

Failed models

Failed runs surface a reason such as low R-squared or insufficient data. Read the error message, then adjust inputs or data coverage and create a new model as needed.

Multiple models per building

You can keep more than one model per building when scopes or metering differ. Name and document each model so stakeholders know which run applies to which measure.

Next steps

Energy modeling overview

Review IPMVP options, meter types, and how forecasting extends modeling.

Create an M&V model

Configure baselines, variables, and thresholds for a new training run.

Forecasting

Project future consumption after you have an acceptable model.
Last modified on August 18, 2026