Energy
16 columns
200 rows
8 formats

IoT-Enabled Office Energy Logs

This dataset provides detailed, time-stamped energy usage logs from IoT sensors deployed throughout office buildings, capturing electricity consumption, power demand, occupancy, and environmental conditions at a granular level. It enables comprehensive analysis for optimizing energy efficiency, monitoring building performance, and supporting sustainability initiatives in smart office environments.

last updated 21 Aug 2025
by GoMask

The brief that made it

Real-time energy consumption monitoring and anomaly detection

Sample rows

preview · 8 of 200 rows · all 16 columns

log_idstring	sensor_typestring	temperature_celsiusfloat	occupancy_statusboolean	zone_namestring	timestampdatetime	sensor_idstring	device_idstring	zone_idstring	floorinteger	building_idstring	energy_consumption_kwhfloat	power_demand_kwfloat	humidity_percentfloat	co2_ppmfloat	sensor_statusstring
log001	electricity	21.2	true	Reception Area	2024-05-01T08:16:23Z	SEN-ELEC-001	DV-PRINTER-01	Z-101	1	BLD-NYC-001	0.15	0.06	40.5	450	active
log002	hvac	22.9	false	Large Meeting Room	2024-05-01T09:03:15Z	SEN-HVAC-002	DV-HVAC-02	Z-210	2	BLD-NYC-001	10.8	2.1	55.2	700	active
log003	lighting	16.5	blank	Exterior Entry	2024-05-01T10:20:41Z	SEN-LIGHT-003	DV-LIGHT-03	Z-EXT	0	BLD-NYC-001	0.03	0.02	46.1	402	active
log004	occupancy	24.7	true	Open Workspace	2024-05-01T11:02:55Z	SEN-OCC-004	blank	Z-318	3	BLD-NYC-001	0	blank	39.8	665	active
log005	plug_load	23.5	false	IT Room	2024-05-01T12:07:12Z	SEN-PLUG-005	DV-MONITOR-05	Z-105	1	BLD-NYC-001	0.43	0.13	41.2	430	active
log006	hvac	25.3	true	Open Workspace	2024-05-01T13:18:26Z	SEN-HVAC-006	DV-HVAC-06	Z-318	3	BLD-NYC-001	8.5	1.8	52	690	active
log007	lighting	15.8	blank	Exterior Entry	2024-05-01T14:24:09Z	SEN-LIGHT-007	blank	Z-EXT	0	BLD-NYC-001	0.02	0.02	40.4	407	active
log008	occupancy	23.4	false	Large Meeting Room	2024-05-01T15:35:32Z	SEN-OCC-008	blank	Z-210	2	BLD-NYC-001	0	blank	45.7	555	active
log009	hvac	22.2	false	IT Room	2024-05-01T16:42:10Z	SEN-HVAC-009	DV-HVAC-09	Z-105	1	BLD-NYC-001	12.3	2.5	60.1	700	active
log010	electricity	60	false	Testing Zone	2024-05-01T17:55:28Z	SEN-ELEC-010	DV-UPS-10	Z-999	99	BLD-ATL-003	1000	250	0	5000	error
log011	lighting	13.2	blank	Basement Hall	2024-05-02T08:11:45Z	SEN-LIGHT-011	DV-LIGHT-11	Z-B101	0	BLD-NYC-001	0.04	0.03	55.8	399	active
log012	occupancy	26.2	true	Exterior Entry	2024-05-02T09:19:58Z	SEN-OCC-012	blank	Z-EXT	0	BLD-ATL-003	0	blank	48.3	402	active
log013	plug_load	23	true	Open Workspace	2024-05-02T10:14:18Z	SEN-PLUG-013	DV-LAPTOP-13	Z-318	3	BLD-NYC-001	0.33	0.11	39.3	410	active
log014	hvac	blank	false	Exterior Entry	2024-05-02T11:20:29Z	SEN-HVAC-014	blank	Z-EXT	0	BLD-HOU-005	0	blank	blank	blank	inactive
log015	lighting	blank	blank	IT Room	2024-05-02T12:26:48Z	SEN-LIGHT-015	blank	Z-105	1	BLD-HOU-005	0	0	blank	blank	inactive
log016	occupancy	24.1	false	Large Meeting Room	2024-05-02T13:05:39Z	SEN-OCC-016	blank	Z-210	2	BLD-NYC-001	0	blank	49	512	active
log017	hvac	27.2	true	Reception Area	2024-05-02T14:18:11Z	SEN-HVAC-017	DV-HVAC-17	Z-101	1	BLD-LON-007	15.1	3.1	61.2	995	active
log018	lighting	10.4	blank	Basement Hall	2024-05-02T15:10:29Z	SEN-LIGHT-018	DV-LIGHT-18	Z-B101	0	BLD-LON-007	0.05	0.05	99.9	399	active
log019	occupancy	31.2	true	Open Workspace	2024-05-02T16:14:31Z	SEN-OCC-019	blank	Z-318	3	BLD-LON-007	0	blank	58.5	432	active
log020	electricity	blank	blank	Testing Zone	2024-05-02T17:05:45Z	SEN-ELEC-020	DV-WATER-20	Z-999	99	BLD-CHI-008	99.99	15.2	blank	blank	maintenance

What the 200 rows show

from the 200-row sample

Lighting (sensor type) stands out: mean temperature_celsius is 15.2, against 26.0 for the rest.

38%occupancy_status = true
22.2median temperature_celsius
4sensor statuses
12zones
19buildings
1median floor

Mean temperature_celsius by sensor_type171 rows

temperature_celsius171 rows, in bands of 5

Median 22.2, from 10.4 to 60.0.

zone_name200 rows · top 10 of 24 values

Exterior Entry45
Open Workspace18
South Lounge12
West Server Room10
Testing Zone9
Server Room9
Large Meeting Room8
Printer Room8
Server Closet8
IT Room7

16 columns by typefrom the column list below

string 8
integer 1
float 5
datetime 1
boolean 1

Columns

16 columns in four groups

blueprint · 16 columns
column	type	description	example
Text 8 columns
`log_id`	string	Unique identifier for each energy usage log entryunique	log001
`sensor_id`	string	Unique identifier for the IoT sensor that recorded the data	SEN-ELEC-001
`sensor_type`	string	Type of sensor (e.g., electricity, HVAC, lighting, occupancy)6 values	electricity
`device_id`	string	Identifier for the device or appliance being monitored, if applicableoptional	DV-PRINTER-01
`zone_id`	string	Identifier for the office zone, room, or area where the sensor is located12 zones	Z-101
`zone_name`	string	Human-readable name for the office zone or areaoptional	Reception Area
`building_id`	string	Identifier for the building in which the sensor is installed	BLD-NYC-001
`sensor_status`	string	Operational status of the sensor at the time of loggingactive · inactive · error · maintenance · optional	active
Numbers 6 columns
`floor`	integer	Floor number where the sensor is located0 or more · optional	1
`energy_consumption_kwh`	float	Amount of energy consumed in kilowatt-hours (kWh) during the log interval0 or more	0.15
`power_demand_kw`	float	Instantaneous power demand in kilowatts (kW) at the time of logging0 or more · optional	0.06
`temperature_celsius`	float	Ambient temperature in degrees Celsius at the time of loggingoptional	21.2
`humidity_percent`	float	Relative humidity percentage at the time of logging0 to 100 · optional	40.5
`co2_ppm`	float	CO2 concentration in parts per million (ppm) at the time of logging0 or more · optional	450
Dates and times 1 column
`timestamp`	datetime	Date and time when the energy usage was recorded	2024-05-01T08:16:23Z
True or false 1 column
`occupancy_status`	boolean	Whether the zone was occupied (true) or unoccupied (false) at the time of loggingoptional	true

Use it for

An energy dashboard
The occupancy_status rate, temperature_celsius by sensor_type and a breakdown of zone_name. Excel, Power BI or Tableau.
Why do the 38 lighting rows have a mean temperature_celsius of 15.2?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs200
log00121.2electric…
log00222.9hvac
log00424.7occupancy
A software demo
Believable logs with timestamp, sensor_id and sensor_type to fill a screen in front of a buyer.

This dataset200 rows16 columns

Yours1,000 rows16 columns

blueprint · iot-enabled-office-energy-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 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

Hourly readings per sensor ID
Include device location and type
Anomalies flagged for >200% increase
Data gaps patched with interpolation
Building IDs anonymized

Rows1,000 rows10,000 rows100,000 rows1,000,000 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: iot-enabled-office-energy-logs

What should your data show?

No signup. No card.

Sample rows

What the 200 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?