• Energy
  • 14 columns
  • 180 rows
  • 8 formats

Feeder-Level Load Profiles and Substation Demand

This dataset provides granular 15-minute interval load profiles for distribution feeders and substation transformers, including real and reactive power demand, phase-level loading, voltage drop, and thermal capacity utilization. It enables detailed analysis of grid performance, phase imbalance, and operational risks, supporting utility planning, reliability assessment, and demand forecasting.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Grid reliability and operational risk analysis

Sample rows

preview · 8 of 180 rows · all 14 columns
record_idstringphase_imbalance_percentfloatis_peak_periodbooleansubstation_idstringtimestampdatetimefeeder_idstringmw_demandfloatmvar_demandfloatphase_a_loadfloatphase_b_loadfloatphase_c_loadfloatvoltage_drop_percentfloatthermal_loading_percentfloatnotesstring
REC-0000112.8trueSUB-NW-0132023-11-23T17:00:00ZFDR-North-0141.520.815.713.812.127.297.3Thanksgiving peak, North region, high imbalance, event-driven demand.
REC-000029.2trueSUB-NW-0132023-11-23T17:15:00ZFDR-North-0139.218.31314.611.624.192.5Thanksgiving, sustained high load, North substation, moderate imbalance.
REC-000030.9falseSUB-CT-0522023-06-12T12:00:00ZFDR-Central-1414.44.94.74.84.93.362.5Office district, midday typical, balanced three-phase load.
REC-000041.1falseSUB-CT-0522023-06-12T12:15:00ZFDR-Central-1413.85.14.64.74.53.160.2Typical midday office load, balanced phases.
REC-0000519.7trueSUB-WT-0472023-12-31T19:00:00ZFDR-West-2247.827.315.819.612.441.699.3New Year's Eve, city-wide event, extreme demand and phase imbalance.
REC-000067.9trueSUB-ET-0212023-07-04T21:00:00ZFDR-East-0338.517.213.612.612.326.588.1Holiday event in East region, demand near transformer capacity.
REC-000071.4falseSUB-ST-0332023-11-23T05:30:00ZFDR-South-072.71.60.90.811.726.3Early morning residential load, low imbalance, South region.
REC-000081falseSUB-ST-0332023-11-23T05:45:00ZFDR-South-073.11.811.112.128.5Pre-dawn, residential demand, minimal phase imbalance.

What the 180 rows show

from the 180-row sample
  • 37%is_peak_period = true
  • 1.6median phase_imbalance_percent
  • 10feeders
  • 13.5median mw_demand
  • 4.8median mvar_demand
  • 4.5median phase_a_load
phase_imbalance_percent180 rows, in bands of 10
05511010144130456430050100phase_imbalance_percent →

Median 1.6, from 0.0 to 80.0.

substation_id180 rows · top 10 of 18 values
  1. SUB-NW-01324
  2. SUB-ET-02113
  3. SUB-EA-10312
  4. SUB-WE-02212
  5. SUB-WT-04711
  6. SUB-SO-20710
  7. SUB-CT-0529
  8. SUB-ET-1049
  9. SUB-NW-1029
  10. SUB-WT-2239
14 columns by typefrom the column list below
  • string 4
  • float 8
  • datetime 1
  • boolean 1

Columns

14 columns in four groups
blueprint · 14 columns
columntypedescriptionexample
Text 4 columns
record_idstringUnique identifier for each 15-minute load profile recorduniqueREC-00001
feeder_idstringUnique identifier for the distribution feeder10 feedersFDR-North-01
substation_idstringUnique identifier for the substation transformerSUB-NW-013
notesstringAdditional comments or notes about the recordoptionalThanksgiving peak, North …
Numbers 8 columns
mw_demandfloatMeasured real power demand in megawatts (MW) at the interval0 or more41.5
mvar_demandfloatMeasured reactive power demand in megavars (MVAR) at the interval20.8
phase_a_loadfloatLoad on phase A in megawatts (MW)0 or more15.7
phase_b_loadfloatLoad on phase B in megawatts (MW)0 or more13.8
phase_c_loadfloatLoad on phase C in megawatts (MW)0 or more12.1
phase_imbalance_percentfloatPercentage of load imbalance across phases0 to 10012.8
voltage_drop_percentfloatPercentage voltage drop from nominal voltage0 to 10027.2
thermal_loading_percentfloatPercentage of rated thermal capacity used0 to 10097.3
Dates and times 1 column
timestampdatetimeDate and time of the measurement (15-minute interval)2023-11-23T17:00:00Z
True or false 1 column
is_peak_periodbooleanIndicates if the measurement was taken during a peak demand periodoptionaltrue

Use it for

  • is peak period37%67 of 180 rows

    An energy dashboard

    The is_peak_period rate, phase_imbalance_percent and a breakdown of substation_id. Excel, Power BI or Tableau.

  • Why do 67 of 180 rows have is_peak_period = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 180 rows.

  • A software demo

    Believable records with timestamp, feeder_id and substation_id to fill a screen in front of a buyer.

Not quite right?

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This dataset180 rows14 columns
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blueprint · feeder-level-load-profiles-and-substation-demand

Behind this dataset

Same schema. As many rows as you need.

These 180 rows came out of a blueprint — 14 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Feeder ID and substation name
  • 15-minute MW demand and MVAR reactive power
  • Load imbalance: difference between phases A, B, C
  • Voltage drop from substation to feeder endpoint
  • Transformer thermal loading as percentage of rated MVA
  • Load diversity factor for mixed residential/commercial feeders
  • Coincident peak demand for capacity planning
  • Overload conditions triggering capacity upgrade projects
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
feeder-level-load-profiles-and-substation-demand

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