Energy
16 columns
120 rows
8 formats

Smart Building Energy Usage Log

This dataset provides granular logs of energy consumption across IoT-enabled zones within smart buildings, including environmental conditions, occupancy, and device metadata. It enables advanced analysis of usage patterns, identification of inefficiencies, and supports sustainability initiatives for facility managers and smart city planners. The data is ideal for optimizing energy usage, detecting anomalies, and benchmarking building performance.

last updated 24 Dec 2025
by GoMask

The brief that made it

Identifying energy inefficiencies and peak usage periods in smart buildings

Sample rows

preview · 8 of 120 rows · all 16 columns

log_idstring	device_typestring	energy_consumed_kwhfloat	peak_usageboolean	building_idstring	building_namestring	zone_idstring	zone_namestring	timestampdatetime	energy_typestring	occupancy_countinteger	temperature_celsiusfloat	humidity_percentfloat	device_idstring	anomaly_detectedboolean	notesstring
LOG00001	smart_meter	120.5	true	BLDG-A	Central Business Tower	ZONE-101	Lobby	2024-06-01T07:30:00Z	electricity	135	24.1	48.3	DEV-EL-1001	false	Morning rush hour, increased foot traffic.
LOG00002	smart_meter	85.2	false	BLDG-A	Central Business Tower	ZONE-102	Conference Room A	2024-06-01T09:15:00Z	electricity	40	22.5	45.7	DEV-EL-1002	false	Weekly meeting session ongoing.
LOG00003	smart_meter	178.9	true	BLDG-A	Central Business Tower	ZONE-103	Food Court	2024-06-01T12:05:00Z	electricity	210	26.8	52.4	DEV-EL-1003	false	Lunch peak, all stations active.
LOG00004	smart_meter	14.7	true	BLDG-B	Green Valley Apartments	ZONE-201	Laundry Room	2024-06-01T19:45:00Z	electricity	8	28.2	56.7	DEV-EL-2001	false	Evening laundry cycle.
LOG00005	sensor	6.3	false	BLDG-B	Green Valley Apartments	ZONE-202	Rooftop	2024-06-01T14:10:00Z	solar	2	32.6	41.2	DEV-SOL-2002	false	Solar panel output normal.
LOG00006	smart_meter	3.9	false	BLDG-B	Green Valley Apartments	ZONE-203	Guest Suite	2024-06-01T18:30:00Z	electricity	3	25.5	49.6	DEV-EL-2003	false	Routine occupancy.
LOG00007	controller	1230.7	true	BLDG-C	Tech Innovation Hub	ZONE-301	Server Room	2024-06-01T03:23:00Z	electricity	1	19.4	21.9	DEV-EL-3001	false	Backup generator test.
LOG00008	controller	1867.2	false	BLDG-C	Tech Innovation Hub	ZONE-302	Backup Power Bay	2024-06-01T02:05:00Z	gas	0	38.2	14.8	DEV-GA-3002	true	Gas supply pressure drop detected.
LOG00009	smart_meter	510.6	false	BLDG-C	Tech Innovation Hub	ZONE-303	Electrical Closet	2024-06-01T04:55:00Z	electricity	0	34.7	12.1	DEV-EL-3003	false	Routine check.
LOG00010	smart_meter	97.3	true	BLDG-D	City Library Complex	ZONE-401	Reading Hall	2024-06-01T16:40:00Z	electricity	105	23.2	54.7	DEV-EL-4001	false	Afternoon crowd.
LOG00011	sensor	5.2	false	BLDG-D	City Library Complex	ZONE-402	Archive Basement	2024-06-01T12:00:00Z	electricity	blank	17.8	39.1	DEV-EL-4002	false	Routine environmental monitoring.
LOG00012	thermostat	11.9	false	BLDG-D	City Library Complex	ZONE-403	Reference Desk	2024-06-01T10:10:00Z	electricity	6	21.6	49	DEV-EL-4003	false	Staff shift change.
LOG00013	sensor	42.5	true	BLDG-E	Metro Parking Plaza	ZONE-501	Parking Garage	2024-06-01T09:00:00Z	water	blank	18.5	66.1	DEV-WT-5001	false	Sprinkler system test.
LOG00014	thermostat	9.6	false	BLDG-E	Metro Parking Plaza	ZONE-502	Security Office	2024-06-01T20:30:00Z	electricity	2	21.2	38.8	DEV-EL-5002	false	Night watch shift.
LOG00015	sensor	38	false	BLDG-F	Medical Research Center	ZONE-601	Cold Room	2024-06-01T06:05:00Z	electricity	1	-48.5	12.6	DEV-EL-6001	false	Freezer maintenance.
LOG00016	smart_meter	23.7	false	BLDG-F	Medical Research Center	ZONE-602	Lab 2	2024-06-01T11:08:00Z	gas	9	26.1	34.7	DEV-GA-6002	true	Minor gas leak detected, alert issued.
LOG00017	thermostat	17.5	false	BLDG-F	Medical Research Center	ZONE-603	Isolation Ward	2024-06-01T21:35:00Z	electricity	2	37.9	25.2	DEV-EL-6003	false	Temperature elevated for treatment.
LOG00018	smart_meter	249.8	true	BLDG-G	Community Sports Arena	ZONE-701	Main Field	2024-06-01T18:15:00Z	electricity	300	27.6	58.9	DEV-EL-7001	false	Evening match event.
LOG00019	sensor	17.3	true	BLDG-G	Community Sports Arena	ZONE-702	Locker Room	2024-06-01T19:50:00Z	water	36	24.7	61.3	DEV-WT-7002	false	Post-game showers.
LOG00020	sensor	2.8	false	BLDG-G	Community Sports Arena	ZONE-703	Equipment Store	2024-06-01T10:32:00Z	electricity	1	21.8	46.2	DEV-EL-7003	false	Routine check.

What the 120 rows show

from the 120-row sample

Controller (device type) stands out: mean energy_consumed_kwh is 1,010, against 92.1 for the rest.

51%peak_usage = true
33.7median energy_consumed_kwh
5energy types
14median occupancy_count
24.3median temperature_celsius
46.8median humidity_percent

Mean energy_consumed_kwh by device_type120 rows

energy_consumed_kwh120 rows, in bands of 250

Median 33.7, from 0.20 to 2,500.

building_id120 rows · top 10 of 22 values

BLDG-L8
BLDG-M8
BLDG-I7
BLDG-J7
BLDG-K7
BLDG-N7
BLDG-O7
BLDG-P7
BLDG-Q7
BLDG-F6

16 columns by typefrom the column list below

string 9
integer 1
float 3
datetime 1
boolean 2

Columns

16 columns in four groups

blueprint · 16 columns
column	type	description	example
Text 9 columns
`log_id`	string	Unique identifier for each energy usage log entryunique	LOG00001
`building_id`	string	Unique identifier for the building where the energy usage is recorded	BLDG-A
`building_name`	string	Human-readable name of the buildingoptional	Central Business Tower
`zone_id`	string	Unique identifier for the specific zone within the building	ZONE-101
`zone_name`	string	Human-readable name of the building zone (e.g., 'Lobby', 'Conference Room')optional	Lobby
`energy_type`	string	Type of energy consumed (e.g., electricity, gas, water, solar)electricity · gas · water · solar · other	electricity
`device_id`	string	Unique identifier for the IoT device that recorded the data	DEV-EL-1001
`device_type`	string	Type of IoT device (e.g., smart meter, sensor, thermostat)smart_meter · sensor · thermostat · controller · other · optional	smart_meter
`notes`	string	Additional notes or comments about the log entry (e.g., maintenance, manual override)optional	Evening laundry cycle.
Numbers 4 columns
`energy_consumed_kwh`	float	Amount of energy consumed in kilowatt-hours (kWh) during the logging interval0 or more	120.5
`occupancy_count`	integer	Number of people present in the zone at the time of logging (if available)0 or more · optional	135
`temperature_celsius`	float	Ambient temperature in the zone at the time of logging, in Celsius-50 to 60 · optional	24.1
`humidity_percent`	float	Relative humidity in the zone at the time of logging, as a percentage0 to 100 · optional	48.3
Dates and times 1 column
`timestamp`	datetime	Date and time when the energy usage was recorded	2024-06-01T07:30:00Z
True or false 2 columns
`peak_usage`	boolean	Indicates if this log entry occurred during a peak usage period	true
`anomaly_detected`	boolean	Indicates if an anomaly or inefficiency was detected during this log entryoptional	false

Use it for

An energy dashboard
The peak_usage rate, energy_consumed_kwh by device_type and a breakdown of building_id. Excel, Power BI or Tableau.
Why do the 11 controller rows have a mean energy_consumed_kwh of 1,010?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs120
LOG00001120.5smart_me…
LOG0000285.2smart_me…
LOG00003178.9smart_me…
A software demo
Believable logs with building_id, building_name and zone_id to fill a screen in front of a buyer.

This dataset120 rows16 columns

Yours1,000 rows16 columns

blueprint · smart-building-energy-usage-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 16 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 entry must include timestamp, zone identifier, and device type.
Energy usage recorded in kWh and normalized by square footage.
Anomaly flag triggered for usage above preset thresholds.
Device health status and last maintenance date logged per entry.
Data aggregated weekly for reporting on sustainability KPIs.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

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

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

An energy dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?