> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.kodelabs.com/llms.txt
> Use this file to discover all available pages before exploring further.
# M&V analysis
> Review M&V model results, energy savings, and adjusted baseline performance
After a model run completes, review Measurement and Verification (M\&V) 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](/products/energ/concepts/energy-modeling).
## Savings and charts
The dashboard summarizes performance against the adjusted baseline, as shown below.
* **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](/products/energ/reference/calculations-and-parameters#model-accuracy).
## 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
Review IPMVP options, meter types, and how forecasting extends modeling.
Configure baselines, variables, and thresholds for a new training run.
Project future consumption after you have an acceptable model.