Energy
17 columns
120 rows
8 formats

Building Energy Sensor Events Log

This dataset logs detailed, time-stamped events from smart building energy sensors, including sensor readings, anomalies, and operational statuses across multiple buildings and sensor types. It enables facility managers and IoT architects to monitor energy consumption, detect inefficiencies or anomalies, and drive sustainability initiatives for more efficient building operations.

last updated 28 Dec 2025
by GoMask

The brief that made it

Real-time monitoring and optimization of building energy consumption

Sample rows

preview · 8 of 120 rows · all 17 columns

event_idstring	event_typestring	anomaly_scorefloat	anomaly_detectedboolean	unitstring	timestampdatetime	building_idstring	building_namestring	floorstring	roomstring	sensor_idstring	sensor_typestring	sensor_modelstring	valuefloat	statusstring	anomaly_typestring	event_descriptionstring
4F2B6D3C	reading	blank	false	kWh	2024-03-01T08:12:51Z	BLD-2003	West Campus Main Hall	2	Conference 201	SEN-2003-ELEC-01	electricity	Schneider X200	54.2	active	none	Normal electricity consumption recorded for Conference 201 on the 2nd floor. No anomalies detected.
A1E3DF67	anomaly	0.97	true	kWh	2024-03-01T08:17:02Z	BLD-2003	West Campus Main Hall	2	Conference 201	SEN-2003-ELEC-01	electricity	Schneider X200	99999.9	error	spike	Detected spike in electricity usage, value exceeds expected range. Immediate investigation recommended.
B6E54A2D	reading	blank	false	m3	2024-03-02T09:43:31Z	BLD-4021	Factory Annex	B2	Boiler Room	SEN-4021-GAS-01	gas	Honeywell G101	13.48	active	none	Routine gas reading in Boiler Room, usage within normal parameters.
D7C1B682	anomaly	0.89	true	m3	2024-03-02T10:15:14Z	BLD-4021	Factory Annex	B2	Boiler Room	SEN-4021-GAS-01	gas	Honeywell G101	0	error	sensor_failure	Sensor failed to record gas usage. Device reported zero reading, which is unexpected.
F8D5C1E0	reading	blank	false	L	2024-03-03T12:45:00Z	BLD-1200	Water Tower	G	Pump Room	SEN-1200-WAT-01	water	Siemens WZX	1850.7	active	none	Normal water usage recorded in Pump Room. No irregularities detected during scheduled reading.
C9B3A178	anomaly	0.92	true	L	2024-03-03T12:59:12Z	BLD-1200	Water Tower	G	Pump Room	SEN-1200-WAT-01	water	Siemens WZX	0	error	drop	Unexpected drop to zero in water consumption. Possible leak or sensor malfunction suspected.
AD7F2C91	reading	blank	false	W	2024-03-04T15:30:10Z	BLD-8040	Innovation Lab	5	Open Workspace	SEN-8040-LGT-01	lighting	Philips LightSense	128.4	active	none	Lighting power consumption is within expected range for this time of day.
E3CD2FB8	maintenance	blank	false	blank	2024-03-04T15:30:30Z	BLD-8040	Innovation Lab	5	Open Workspace	SEN-8040-LGT-01	lighting	Philips LightSense	blank	maintenance	none	Scheduled maintenance performed on lighting sensor in Open Workspace.
B1A8F7C2	reading	blank	false	C	2024-03-04T21:04:55Z	BLD-6007	Tech Hub	Penthouse	VIP Lounge	SEN-6007-HVAC-01	HVAC	Daikin VRV	22.5	active	none	HVAC temperature is stable and within the comfort zone for VIP Lounge.
F9C1B5D3	anomaly	0.98	true	C	2024-03-04T21:08:26Z	BLD-6007	Tech Hub	Penthouse	VIP Lounge	SEN-6007-HVAC-01	HVAC	Daikin VRV	45	error	spike	Temperature spike detected by HVAC sensor. Room temperature reached 45°C, which is above threshold.
C6A2E841	reading	blank	false	L	2024-03-05T00:00:00Z	BLD-3005	Office Block	0	Storage	SEN-3005-WAT-02	water	ABB FlowMeter Max	212	active	none	Water flow reading taken at midnight; levels are typical for off-peak hours.
D5E8F3B4	anomaly	0.93	true	L	2024-03-05T00:05:12Z	BLD-3005	Office Block	0	Storage	SEN-3005-WAT-02	water	ABB FlowMeter Max	3000	error	outlier	Unusually high water usage flagged overnight; possible leak or outlier event.
F7A6C3E2	reading	blank	false	kWh	2024-03-06T07:20:43Z	BLD-7777	Tech Center	1	Reception	SEN-7777-ELEC-02	electricity	Legrand EcoMeter	65.8	active	none	Reception area electricity draw is in line with previous weekday mornings.
E2B1D7A4	maintenance	blank	false	blank	2024-03-06T07:28:21Z	BLD-7777	Tech Center	1	Reception	SEN-7777-ELEC-02	electricity	Legrand EcoMeter	blank	maintenance	none	Preventative maintenance performed on electricity sensor in Reception area.
B9D3F1A7	reading	blank	false	C	2024-03-07T11:34:12Z	BLD-5000	Office Block	3	Conference 305	SEN-5000-HVAC-04	HVAC	Mitsubishi Elite	18.2	active	none	HVAC temperature reading is optimal for Conference 305 during morning hours.
A4E5B6C7	anomaly	0.88	true	C	2024-03-07T11:37:12Z	BLD-5000	Office Block	3	Conference 305	SEN-5000-HVAC-04	HVAC	Mitsubishi Elite	-15	inactive	drop	Sudden temperature drop detected, possible HVAC malfunction or abrupt power loss.
E1B7A3F4	reading	blank	false	kWh	2024-03-08T13:00:00Z	BLD-1001	West Campus Main Hall	Lobby	Lobby	SEN-1001-ELEC-03	electricity	ABB PowerSense	72.4	active	none	Electricity usage in lobby consistent with historical midday data.
D2F8B1A3	anomaly	1	true	kWh	2024-03-08T13:03:31Z	BLD-1001	West Campus Main Hall	Lobby	Lobby	SEN-1001-ELEC-03	electricity	ABB PowerSense	999999.9	error	outlier	Extreme outlier in electricity reading, likely device or transmission error.
C5E2A1F9	reading	blank	false	m3	2024-03-09T16:47:20Z	BLD-4002	Storage Facility	B1	Utility Room	SEN-4002-GAS-02	gas	GE Magna	1.22	active	none	Low gas reading consistent with storage area expectations.
A2B6D3F1	anomaly	0.91	true	m3	2024-03-09T16:50:11Z	BLD-4002	Storage Facility	B1	Utility Room	SEN-4002-GAS-02	gas	GE Magna	50	error	spike	Gas consumption spike detected; value exceeds operational limits for the Utility Room.

What the 120 rows show

from the 120-row sample

Anomaly (event type) stands out: 39 of its 39 rows have anomaly_detected = true, against 4 of 81 for the rest.

36%anomaly_detected = true
0.91median anomaly_score
5sensor types
5statuses
6anomaly types
12floors

Anomaly detected rate by event_typeanomaly_detected = true

anomaly_score43 rows, in bands of 0.02

Median 0.91, from 0.81 to 1.0.

unit94 rows with a value · 26 left blank

m329
C22
L17
kWh15
W11

17 columns by typefrom the column list below

string 13
float 2
datetime 1
boolean 1

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 13 columns
`event_id`	string	A unique identifier for each sensor event log entry.unique	4F2B6D3C
`building_id`	string	Unique identifier for the building where the sensor is located.	BLD-2003
`building_name`	string	Human-readable name of the building.optional	West Campus Main Hall
`floor`	string	Floor or level within the building where the sensor is installed (e.g., '1', 'B2', 'Mezzanine').12 floors · optional	2
`room`	string	Room or area identifier within the building (e.g., 'Conference 101', 'Lobby').optional	Conference 201
`sensor_id`	string	Unique identifier for the energy sensor device.	SEN-2003-ELEC-01
`sensor_type`	string	Type of sensor (e.g., 'electricity', 'gas', 'water', 'HVAC', 'lighting').6 values	electricity
`sensor_model`	string	Manufacturer and model of the sensor device.optional	Schneider X200
`event_type`	string	Type of event recorded (e.g., 'reading', 'anomaly', 'maintenance', 'alert').reading · anomaly · maintenance · alert · other	reading
`unit`	string	Unit of measurement for the sensor value (e.g., 'kWh', 'm3', 'L', 'W', 'C').5 units · optional	kWh
`status`	string	Operational status of the sensor at the time of event (e.g., 'active', 'inactive', 'error', 'maintenance').active · inactive · error · maintenance · unknown · optional	active
`anomaly_type`	string	Type of anomaly detected (e.g., 'spike', 'drop', 'outlier', 'sensor_failure').6 values · optional	none
`event_description`	string	Detailed description or notes about the event.optional	Normal electricity consum…
Numbers 2 columns
`value`	float	Measured value from the sensor (e.g., kWh for electricity, m3 for gas, L for water).optional	54.2
`anomaly_score`	float	Numerical score indicating severity or likelihood of the anomaly (0-1 scale).0 to 1 · optional	0.97
Dates and times 1 column
`timestamp`	datetime	The exact date and time when the sensor event was recorded (in UTC).	2024-03-01T08:12:51Z
True or false 1 column
`anomaly_detected`	boolean	Indicates if the event was flagged as an anomaly.optional	false

Use it for

An energy dashboard
The anomaly_detected rate, anomaly_score by event_type and a breakdown of unit. Excel, Power BI or Tableau.
Why do 43 of 120 rows have anomaly_detected = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Events120
4F2B6D3Creading
A1E3DF670.97anomaly
D7C1B6820.89anomaly
A software demo
Believable events with timestamp, building_id and building_name to fill a screen in front of a buyer.

This dataset120 rows17 columns

Yours1,000 rows17 columns

blueprint · building-energy-sensor-events-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 17 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 event includes a unique sensor ID and location zone.
Event type must be one of: consumption_spike, usage_drop, offline_alert, or normal.
Readings are captured at 15-minute intervals during operational hours.
Anomalies must be flagged if consumption exceeds preset thresholds.
Device firmware version is tracked for each event.

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: building-energy-sensor-events-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?