• Energy
  • 20 columns
  • 200 rows
  • 8 formats

Smart Building Energy Usage

This dataset provides detailed, timestamped energy usage logs from connected smart buildings, including consumption, cost, occupancy, and environmental conditions at the zone level. It enables advanced analysis for building management, sustainability modeling, and operational optimization, supporting energy efficiency initiatives and predictive maintenance. The flat structure ensures compatibility with analytics platforms and machine learning workflows.

  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Building energy efficiency analysis and benchmarking

Sample rows

preview · 8 of 200 rows · all 20 columns
log_idstringzone_typestringoccupancy_countintegeris_peak_periodbooleanaddress_countrystringbuilding_idstringbuilding_namestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringzone_idstringtimestampdatetimeenergy_typestringusage_kwhfloatcost_usdfloatmeter_idstringtemperature_celsiusfloathumidity_percentfloatsustainability_ratinginteger
EUL-000001office42trueUSABLD-101One Market Plaza1 Market StSan FranciscoCA94105zone-101A2024-05-01T08:17:00electricity56.48.55MTR-101E19.257.64
EUL-000002residential3falseUSABLD-102Highland Residences812 Highland RdDenverCO80211zone-102B2024-05-01T22:31:00water13.83.42MTR-102W17.449.25
EUL-000003retail212trueUSABLD-103West Loop Retail1458 W Madison StChicagoIL60607zone-103C2024-05-01T13:45:00electricity432.866.21MTR-103E23.562.13
EUL-000004other0falseblankBLD-104Testville Null TowerblankTestvilleblankblankblank2024-01-15T04:00:00other00MTR-104X-501001
EUL-000005office34trueSwedenBLD-105Stureplan CenterBirger Jarlsgatan 18StockholmStockholm11434zone-105D2024-05-01T09:21:00electricity77.312.62MTR-105E21.144.54
EUL-000006conference_room742trueUSABLD-106Civic Conference Hall200 Civic Center DrHoustonTX77002zone-106E2024-05-01T11:08:00chilled_water598.397.62MTR-106C27.868.12
EUL-000007residential2falseCanadaBLD-107Lakefront Residences2020 Lake Shore BlvdTorontoOntarioM8V4B2zone-107F2024-05-01T19:36:00water7.41.92MTR-107W16.953.35
EUL-000008retail112trueUSABLD-108Pacific Plaza400 Front StSan DiegoCA92101zone-108G2024-05-01T14:27:00electricity255.742.36MTR-108E25.659.93

What the 200 rows show

from the 200-row sample

Conference_room (zone type) stands out: mean occupancy_count is 327.7, against 66.9 for the rest.

  • 59%is_peak_period = true
  • 21.5median occupancy_count
  • 6energy types
  • 44address states
  • 50.5median usage_kwh
  • 8.5median cost_usd
Mean occupancy_count by zone_type200 rows
020040041.1office48 rows0.0lobby22 rows327.7confe…19 rows2.7resid…44 rows175.4retail40 rows111.2other27 rows
occupancy_count200 rows, in bands of 100
0751501433211610110505001,000occupancy_count →

Median 21.5, from 0 to 1,000.

address_country170 rows with a value · 30 left blank
  1. USA104
  2. Singapore12
  3. Sweden8
  4. Canada7
  5. Austria7
  6. Australia7
  7. UK6
  8. Norway5
  9. Germany3
  10. Philippines2
20 columns by typefrom the column list below
  • string 12
  • integer 2
  • float 4
  • datetime 1
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 12 columns
log_idstringUnique identifier for each energy usage log entryuniqueEUL-000001
building_idstringUnique identifier for the smart buildingBLD-101
building_namestringHuman-readable name of the buildingoptionalOne Market Plaza
address_streetstringStreet address of the buildingoptional1 Market St
address_citystringCity where the building is locatedoptionalSan Francisco
address_statestringState or region where the building is locatedoptionalCA
address_postal_codestringPostal code of the building's locationoptional94105
address_countrystringCountry where the building is locatedoptionalUSA
zone_idstringIdentifier for the building zone or area (e.g., floor, wing, room)optionalzone-101A
zone_typestringType of zone (e.g., office, lobby, conference room, residential)6 values · optionaloffice
energy_typestringType of energy measured (e.g., electricity, water, gas)6 valueselectricity
meter_idstringIdentifier for the specific meter or sensor recording the usageoptionalMTR-101E
Numbers 6 columns
usage_kwhfloatAmount of energy consumed in kilowatt-hours (kWh) or equivalent units0 or more56.4
cost_usdfloatCost of the energy consumed in US dollars0 or more · optional8.55
occupancy_countintegerNumber of people present in the zone at the time of measurement0 or more · optional42
temperature_celsiusfloatAmbient temperature in Celsius at the time of measurement-50 to 60 · optional19.2
humidity_percentfloatRelative humidity percentage at the time of measurement0 to 100 · optional57.6
sustainability_ratingintegerSustainability rating of the building at the time of measurement (1-5 scale)1 to 5 · optional4
Dates and times 1 column
timestampdatetimeDate and time when the energy usage was recorded2024-05-01T08:17:00
True or false 1 column
is_peak_periodbooleanIndicates if the usage was recorded during a peak energy periodoptionaltrue

Use it for

  • is peak period59%118 of 200 rowsmean occupancy count …41.1offi…0.0lobby327.7conf…2.7resi…

    An energy dashboard

    The is_peak_period rate, occupancy_count by zone_type and a breakdown of address_country. Excel, Power BI or Tableau.

  • Why do the 19 conference_room rows have a mean occupancy_count of 327.7?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable logs with building_id, building_name and address_street to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

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This dataset200 rows20 columns
Yours1,000 rows20 columnsaddress_street: UK only

blueprint · smart-building-energy-usage

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 20 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
  • Building ID and floor per record
  • Daily energy use in kWh, 50-5000
  • Occupancy level 0-100%
  • Weather data mapped to location
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
smart-building-energy-usage

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