Smart Building Energy Event Logs

This dataset provides detailed, event-level logs of energy usage, anomalies, and efficiency actions across smart buildings, enabling PropTech and ESG teams to monitor operations, detect inefficiencies, and support sustainability compliance. Each record captures building, device, event type, and contextual details, making it ideal for pattern analysis and reporting. The dataset is optimized for operational analytics, anomaly detection, and regulatory reporting in the real estate and energy management sectors.

  • last updated 6 Jan 2026
  • by GoMask
The brief that made it

Operational monitoring and energy usage pattern analysis in smart buildings

Sample rows

preview · 8 of 65 rows · all 22 columns
event_idstringdevice_typestringenergy_cost_usdfloatesg_compliance_flagbooleanreported_bystringbuilding_idstringbuilding_namestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringevent_timestampdatetimeevent_typestringdevice_idstringenergy_consumed_kwhfloatanomaly_typestringanomaly_severitystringaction_typestringaction_resultstringnotesstringaction_descriptionstring
EVT-00001-2024AHVAC19.32truesystemBLD-1001Parkside Tower1200 Elm StChicagoIL60607USA2024-06-02T08:22:00energy_usageDEV-201128.6blankblankblankblankMorning HVAC startupblank
EVT-00002-2024Alighting5.48falsesystemBLD-1002Lakeshore Campus210 River RdMinneapolisMN55401USA2024-06-02T09:10:00energy_usageDEV-11242.7blankblankblankblankHallway lights on for cleaningblank
EVT-00003-2024Ameterblanktrueenergy_monitorBLD-1003Greenway Plaza501 Oak AveDenverCO80203USA2024-06-02T11:45:00anomalyDEV-305blankspikehighblankblankUnusual spike detected on main electric meterblank
EVT-00004-2024AHVACblanktruefacilities_mgrBLD-1001Parkside Tower1200 Elm StChicagoIL60607USA2024-06-02T13:15:00efficiency_actionDEV-202blankblankblankschedule_adjustmentresolvedPeak time shifted by 30 minutesAdjusted HVAC schedule to reduce peak load
EVT-00005-2024AlightingblankfalsesystemBLD-1002Lakeshore Campus210 River RdMinneapolisMN55401USA2024-06-02T14:45:00anomalyDEV-114blanksensor_failuremediumblankblankLighting sensor failed in north wingblank
EVT-00006-2024Aelevator3.89falsesystemBLD-1003Greenway Plaza501 Oak AveDenverCO80203USA2024-06-02T15:22:00energy_usageDEV-30922.3blankblankblankblankElevator usage peakblank
EVT-00007-2024Ameter34.54truesystemBLD-1004Forest Tech Center880 Maple BlvdPortlandOR97204USA2024-06-02T16:10:00energy_usageDEV-410215.9blankblankblankblankDaily summary meter readingblank
EVT-00008-2024Alighting11.02falsesystemBLD-1005Sunrise Offices321 Sunrise DrAustinTX78701USA2024-06-02T17:30:00energy_usageDEV-51565.1blankblankblankblankConference room lighting usageblank

What the 65 rows show

from the 65-row sample

Meter (device type) stands out: mean energy_cost_usd is 20.5, against 10.6 for the rest.

  • 54%esg_compliance_flag = true
  • 17.9median energy_cost_usd
  • 2action results
  • 3event types
  • 3anomaly types
  • 3anomaly severities
Mean energy_cost_usd by device_type28 rows
0204020.5meter17 rows7.8lighting5 rows17.7HVAC4 rows3.5elevator2 rows
energy_cost_usd28 rows, in bands of 5
06122431161102035energy_cost_usd →

Median 17.9, from 3.1 to 34.5.

reported_by65 rows · top 10 of 13 values
  1. system17
  2. AutomatedMeterSys14
  3. energy_monitor6
  4. ESGApp6
  5. facilities_mgr4
  6. BuildingOpsTeam4
  7. EnergyMonitorSys4
  8. contractor3
  9. FacilityMgr-JSmith3
  10. tech_staff1
22 columns by typefrom the column list below
  • string 18
  • float 2
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 18 columns
event_idstringUnique identifier for each energy event log entryuniqueEVT-00001-2024A
building_idstringUnique identifier for the building where the event occurred9 buildingsBLD-1001
building_namestringHuman-readable name of the building9 names · optionalParkside Tower
address_streetstringStreet address of the building9 streets · optional1200 Elm St
address_citystringCity where the building is located9 cities · optionalChicago
address_statestringState or province where the building is located9 states · optionalIL
address_postal_codestringPostal or ZIP code of the building9 codes · optional60607
address_countrystringCountry where the building is locatedoptionalUSA
event_typestringType of event: energy_usage, anomaly, efficiency_actionenergy_usage · anomaly · efficiency_actionenergy_usage
device_idstringUnique identifier for the device or sensor involved in the eventoptionalDEV-201
device_typestringType of device or sensor (e.g., HVAC, lighting, meter, elevator)4 types · optionalHVAC
anomaly_typestringType of anomaly detected (e.g., spike, drop, sensor_failure), if event_type is anomaly3 types · optionalspike
anomaly_severitystringSeverity level of the anomaly (e.g., low, medium, high), if event_type is anomalylow · medium · high · optionalhigh
action_typestringType of efficiency action taken (e.g., schedule_adjustment, equipment_upgrade, manual_override), if event_type is efficiency_action3 types · optionalschedule_adjustment
action_descriptionstringDetailed description of the efficiency action taken, if applicableoptionalAdjusted HVAC schedule to…
action_resultstringOutcome or result of the efficiency action (e.g., resolved, ongoing, failed), if applicableresolved · ongoing · failed · optionalresolved
reported_bystringName or identifier of the system or person who reported or triggered the eventoptionalsystem
notesstringAdditional notes or comments related to the eventoptionalMorning HVAC startup
Numbers 2 columns
energy_consumed_kwhfloatAmount of energy consumed in kilowatt-hours (kWh) for this event, if applicable0 or more · optional128.6
energy_cost_usdfloatEstimated cost of energy consumed in US dollars, if applicable0 or more · optional19.32
Dates and times 1 column
event_timestampdatetimeDate and time when the event was recorded2024-06-02T08:22:00
True or false 1 column
esg_compliance_flagbooleanIndicates if this event is relevant for ESG (Environmental, Social, Governance) compliance reportingoptionaltrue

Use it for

  • esg compliance…54%35 of 65 rowsmean energy cost usd …20.5meter7.8ligh…17.7HVAC3.5elev…

    A real estate dashboard

    The esg_compliance_flag rate, energy_cost_usd by device_type and a breakdown of reported_by. Excel, Power BI or Tableau.

  • Why do the 17 meter rows have a mean energy_cost_usd of 20.5?

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

Not quite right?

Make it yours.

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This dataset65 rows22 columns
Yours1,000 rows22 columnsaddress_street: UK only

blueprint · smart-building-energy-event-logs

Behind this dataset

Same schema. As many rows as you need.

These 65 rows came out of a blueprint — 22 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
  • Each row represents a unique energy event (e.g., peak alert, anomaly, scheduled optimization).
  • Include timestamp, event type, sensor location, baseline vs. actual kWh, and action taken.
  • Flag events that trigger ESG compliance thresholds.
  • Incorporate random anomalies and seasonal patterns to reflect realistic building operation.
  • At least 15% of events should show post-action energy reduction.
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-event-logs

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