> ## 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. # Interval normalization labels > Reference for normalized interval virtual points, physical limits, field priority, and data quality labels Look up the fields, limits, and quality labels produced by [interval data normalization](/products/energ/concepts/interval-data-normalization). Use this page when you investigate empty intervals, interpolated values, or configuration flags on KODE OS interval meters.

Virtual point fields by meter type

Each meter type writes consumption and rate to standard field names and units. ### Electric | Virtual point | Field name | Data interval | Unit | | -------------------- | ----------------------------------------------- | ------------- | ---- | | Consumption (15-min) | `virtual_normalized_differential_energy_sensor` | `15_min` | kWh | | Consumption (Daily) | `virtual_normalized_differential_energy_sensor` | `daily` | kWh | | Rate | `virtual_normalized_average_power_sensor` | `15_min` | kW | ### Energy (chilled or hot water) | Virtual point | Field name | Data interval | Unit | | -------------------- | ----------------------------------------------- | ------------- | ------ | | Consumption (15-min) | `virtual_normalized_differential_energy_sensor` | `15_min` | kBtu | | Consumption (Daily) | `virtual_normalized_differential_energy_sensor` | `daily` | kBtu | | Rate | `virtual_normalized_average_power_sensor` | `15_min` | kBtu/h | ### Water | Virtual point | Field name | Data interval | Unit | | -------------------- | ----------------------------------------------- | ------------- | ------- | | Consumption (15-min) | `virtual_normalized_differential_volume_sensor` | `15_min` | gal | | Consumption (Daily) | `virtual_normalized_differential_volume_sensor` | `daily` | gal | | Rate | `virtual_normalized_average_flowrate_sensor` | `15_min` | gal/min | ### Natural gas | Virtual point | Field name | Data interval | Unit | | -------------------- | ----------------------------------------------- | ------------- | ----- | | Consumption (15-min) | `virtual_normalized_differential_volume_sensor` | `15_min` | ft³ | | Consumption (Daily) | `virtual_normalized_differential_volume_sensor` | `daily` | ft³ | | Rate | `virtual_normalized_average_flowrate_sensor` | `15_min` | ft³/h | ### Steam | Virtual point | Field name | Data interval | Unit | | -------------------- | ------------------------------------------------ | ------------- | ----- | | Consumption (15-min) | `virtual_normalized_differential_mass_sensor` | `15_min` | lbm | | Consumption (Daily) | `virtual_normalized_differential_mass_sensor` | `daily` | lbm | | Rate | `virtual_normalized_average_massflowrate_sensor` | `15_min` | lbm/h | Daily consumption for standard meters is the sum of normalized 15-minute values. For Carma meters, daily consumption can use Carma's daily consumption point instead of summing intervals.

Physical limits per 15-minute interval

Values outside these limits are nullified and labeled `CANONICAL_LIMIT_OUTLIER`. | Meter type | Minimum | Maximum (per 15 min) | Unit | | ---------- | ------- | -------------------- | ---- | | Electric | 0 | 5,000 | kWh | | Water | 0 | 25,000 | gal | | Energy | 0 | 7,500 | kBtu | | Steam | 0 | 50,000 | lbm |

Field priority

When a meter exposes multiple fields, normalization selects one field in this order. | Service | Priority (highest first) | | ----------- | --------------------------------------------------------------------------------------------------------------------------------------- | | Electric | Total energy accumulator, differential energy accumulator, average power sensor, output power sensor | | Natural gas | Total volume accumulator, differential volume accumulator, total energy accumulator, differential energy accumulator, `flowrate_sensor` | | Water | Total volume accumulator, differential volume accumulator, `flowrate_sensor` | | Steam | Total mass accumulator, differential mass accumulator, `massflowrate_sensor` | | Energy | Total energy accumulator, total cooling or heating accumulator, differentials, then power or flow sensors | The chosen field is recorded as `field_used` on the row.

Label categories

| Category | Scope | Contents | | --------------- | ----------- | ------------------------------------------------------ | | `data_quality` | Meter-level | Configuration issues that block reliable normalization | | `validation` | Row-level | Invalid or missing readings | | `interpolation` | Row-level | How a timestamp or gap was filled | | `field_used` | Row-level | Name of the selected source field | An empty labels object `{}` means clean measured data with no flags.

Configuration labels (`data_quality`)

| Label | Meaning | Trust | | -------------------------- | ------------------------------------------------------- | ---------------------------------- | | `DUPLICATE_FIELD_POINTS` | Multiple points map to the same meter field | Do not trust. Fix mapping. | | `COOLING_HEATING_CONFLICT` | Meter has both cooling and heating fields | Do not trust. Fix mapping. | | `FIELD_INVALID_UNIT` | Unit symbol is invalid for the field type | Do not trust. Fix units. | | `POINT_VALUE_DISCREPANCY` | Meter fields report totals that differ by more than 50% | Do not trust. Investigate sensors. |

Validation labels (`validation`)

| Label | Meaning | Trust | | ------------------------- | ------------------------------------------------- | ----------------------- | | `MISSING_RAW_DATA` | No raw data existed for the interval | No data available | | `NEGATIVE_VALUE` | Reading was negative and removed | Invalid reading removed | | `ACCUMULATOR_ZERO` | Accumulator showed zero | Likely sensor error | | `ACCUMULATOR_RESET` | Accumulator decreased (reset or rollover) | Review before use | | `CANONICAL_LIMIT_OUTLIER` | Value exceeded physical limits | Bad reading removed | | `PLATFORM_OUTLIER` | Spike or dip detected against surrounding medians | Glitch reading removed |

Interpolation labels (`interpolation`)

| Label | Meaning | Trust | | --------------- | ---------------------------------------------------------- | -------------------------- | | `TIME_WEIGHTED` | Value interpolated to align to the 15-minute grid | Minor timestamp adjustment | | `LINEAR` | Short gap filled by linear interpolation (up to two hours) | Estimate for a short gap | ## Example rows | Meter | Time | Consumption | Rate | Labels | | ------------- | ----- | ----------- | ----- | ----------------------------------------------------------------------- | | Main Electric | 08:00 | 125.5 | 502.0 | `{}` | | Main Electric | 08:15 | 128.2 | 512.8 | `{"field_used": "total_energy_accumulator"}` | | Main Electric | 08:30 | — | — | `{"validation": "MISSING_RAW_DATA"}` | | Main Electric | 08:45 | 130.1 | 520.4 | `{"interpolation": "LINEAR", "field_used": "total_energy_accumulator"}` | | Main Electric | 09:00 | — | — | `{"validation": "PLATFORM_OUTLIER"}` | ## Next steps Understand why and how interval data is cleaned. Connect the meters that produce these virtual points. Look up bill-side meter columns and service types. Compare utility and interval totals after normalization.