Energy
21 columns
125 rows
8 formats

Smart Building Energy Optimization Logs

This dataset provides granular, time-stamped energy usage logs from smart building sensors, including consumption, cost, carbon emissions, and optimization actions. It enables sustainability officers and property managers to monitor efficiency, optimize operations, and support ESG compliance and digital transformation initiatives in real estate. The dataset is ideal for energy analytics, sustainability reporting, and operational benchmarking.

last updated 27 Oct 2025
by GoMask

The brief that made it

Energy consumption analytics and inefficiency detection

Sample rows

preview · 8 of 125 rows · all 21 columns

log_idstring	energy_unitstring	energy_consumedfloat	is_peak_periodboolean	address_citystring	building_idstring	building_namestring	address_streetstring	address_statestring	address_postal_codestring	address_countrystring	sensor_idstring	sensor_typestring	sensor_locationstring	timestampdatetime	costfloat	carbon_emissionsfloat	optimization_flagboolean	optimization_actionstring	esg_reporting_flagboolean	notesstring
LOG-1001-A	kWh	150.2	true	Chicago	BLD-001	Green Tower	123 Oak Avenue	IL	60601	USA	SEN-001-E	electricity	Lobby	2023-12-31T08:25:00Z	45.62	62.4	true	Lighting_dimming	true	Peak morning usage, automated lighting dimming executed.
LOG-1002-B	m3	85.5	false	Houston	BLD-002	Silver Plaza	456 Pine Road	TX	77002	USA	SEN-002-G	gas	Boiler Room	2023-12-31T10:45:00Z	32.8	44.6	false	blank	false	Routine boiler operation; no anomalies detected.
LOG-1003-C	m3	32.1	false	San Francisco	BLD-003	Eco Heights	789 Maple Street	CA	94108	USA	SEN-003-W	water	Restroom 2F	2023-12-31T14:05:00Z	19.2	0	false	blank	false	Normal water usage for restrooms; no optimization required.
LOG-1004-D	kWh	220.3	true	New York	BLD-004	Skyline Hub	321 Elm Street	NY	10001	USA	SEN-004-H	hvac	Main Conference Room	2023-12-31T13:17:00Z	78.5	110.7	true	HVAC_eco_mode	true	Peak afternoon cooling demand, HVAC eco mode activated.
LOG-1005-E	kWh	410.9	true	Boston	BLD-005	Innovation Center	654 Cedar Lane	MA	02110	USA	SEN-005-E	electricity	Server Room	2023-12-31T23:59:59Z	102.75	170.3	true	Load_shedding	true	End-of-day spike, load shedding protocol executed.
LOG-1006-F	BTU	12.5	false	Seattle	BLD-006	Metro Complex	987 Spruce Drive	WA	98101	USA	SEN-006-O	other	Parking Garage	2023-12-31T07:45:00Z	3.2	1.1	false	blank	false	Garage ventilation system routine check.
LOG-1007-G	kWh	54.9	false	Denver	BLD-007	Liberty Square	159 Birch Way	CO	80202	USA	SEN-007-H	hvac	Atrium	2023-12-31T17:40:00Z	18.8	29.6	false	blank	false	Routine atrium ventilation, no optimization triggered.
LOG-1008-H	m3	0.0001	false	Miami	BLD-008	Harbor Point	753 Willow Road	FL	33101	USA	SEN-008-W	water	Lobby Restroom	2023-12-31T12:05:00Z	0.03	0	false	blank	false	Sensor calibration performed; no usage logged.
LOG-1009-I	kWh	76	false	Toronto	BLD-009	Summit Place	852 Aspen Blvd	ON	M5J2N8	Canada	SEN-009-E	electricity	Reception	2023-12-31T15:00:00Z	21.5	33.2	false	blank	false	Reception area lighting schedule, normal usage.
LOG-1010-J	m3	0	false	London	BLD-010	Urban Yard	951 Chestnut Ave	LDN	SW1A2AA	UK	SEN-010-G	gas	Basement	2023-12-31T00:00:00Z	0	0	false	blank	false	No gas consumption recorded; maintenance shutdown.
LOG-1011-K	kWh	60.3	true	Los Angeles	BLD-011	Tech Park	421 Poplar Drive	CA	90017	USA	SEN-011-E	electricity	IT Department	2023-12-31T09:40:00Z	16.4	24.1	true	Load_shedding	true	Morning IT equipment startup, load shedding applied.
LOG-1012-L	kWh	33.4	false	Berlin	BLD-012	Central Square	348 Walnut St	BE	10115	Germany	SEN-012-H	hvac	Cafeteria	2023-12-31T11:15:00Z	8.9	11.2	false	blank	false	Mid-morning HVAC operation; no optimization.
LOG-1013-M	m3	44.1	false	Chicago	BLD-001	Green Tower	123 Oak Avenue	IL	60601	USA	SEN-013-W	water	Kitchen	2023-12-31T16:14:00Z	26.6	0	false	blank	false	Kitchen water usage; normal cycle.
LOG-1014-N	kWh	120.5	true	Sydney	BLD-013	Sunrise Plaza	222 Willow Lane	NSW	2000	Australia	SEN-014-E	electricity	Workshop	2023-12-31T18:00:00Z	34.2	46.8	true	Lighting_dimming	true	Evening workshop lighting, dimming optimization applied.
LOG-1015-O	other	1000	false	blank	BLD-014	Polar Research	blank	Ross	blank	Antarctica	SEN-015-O	other	Main Lab	2023-12-31T05:12:00Z	350	480	false	blank	false	Emergency shutdown, outlier high consumption event.
LOG-1016-P	m3	29.2	false	Auckland	BLD-015	Bayfront Park	561 Palm Avenue	WGN	1010	New Zealand	SEN-016-G	gas	Plant Room	2023-12-31T06:30:00Z	14.5	8.9	false	blank	false	Routine morning operation, standard gas consumption.
LOG-1017-Q	kWh	59.7	false	Dallas	BLD-016	Grand Plaza	1010 Redwood St	TX	75201	USA	SEN-017-H	hvac	Lobby	2023-12-31T09:45:00Z	19.3	24.5	false	blank	false	Lobby HVAC, regular morning ventilation performed.
LOG-1018-R	kWh	200	true	Manchester	BLD-017	Riverpoint Center	198 Oak Drive	MAN	M13AB	UK	SEN-018-E	electricity	Lobby	2023-12-31T13:00:00Z	56.8	82.5	true	Load_shedding	true	High noon demand, load shedding optimization executed.
LOG-1019-S	m3	22.5	false	Phoenix	BLD-018	Skyview Center	333 Pine Ave	AZ	85001	USA	SEN-019-G	gas	Mechanical Room	2023-12-31T04:20:00Z	10.8	6.7	false	blank	false	Routine mechanical room gas consumption.
LOG-1020-T	kWh	340.8	true	San Diego	BLD-019	Techworks Campus	725 Cedar St	CA	92101	USA	SEN-020-H	hvac	Server Hall	2023-12-31T22:58:00Z	98.7	180.8	true	HVAC_shutdown	true	Late night cooling, HVAC shutdown optimization applied.

What the 125 rows show

from the 125-row sample

30%is_peak_period = true
45.3median energy_consumed
5sensor types
7address countries
7optimization actions
24address states

energy_unit125 rows by value

energy_consumed125 rows, in bands of 100

Median 45.3, from 0.0 to 1,000.

address_city120 rows with a value · 5 left blank

Chicago7
Houston6
San Francisco6
Seattle6
Denver6
Dallas6
San Diego6
Portland6
Boston5
Miami5

21 columns by typefrom the column list below

string 14
float 3
datetime 1
boolean 3

Columns

21 columns in four groups

blueprint · 21 columns
column	type	description	example
Text 14 columns
`log_id`	string	Unique identifier for each energy usage log entryunique	LOG-1001-A
`building_id`	string	Unique identifier for the building where the sensor is located	BLD-001
`building_name`	string	Human-readable name of the buildingoptional	Green Tower
`address_street`	string	Street address of the buildingoptional	123 Oak Avenue
`address_city`	string	City where the building is locatedoptional	Chicago
`address_state`	string	State or region of the buildingoptional	IL
`address_postal_code`	string	Postal or ZIP code of the buildingoptional	60601
`address_country`	string	Country where the building is located7 countries · optional	USA
`sensor_id`	string	Unique identifier for the sensor capturing energy usage	SEN-001-E
`sensor_type`	string	Type of sensor (e.g., electricity, water, gas, HVAC)electricity · water · gas · hvac · other	electricity
`sensor_location`	string	Physical location or zone within the building where the sensor is installedoptional	Lobby
`energy_unit`	string	Unit of measurement for energy consumed (e.g., kWh, m3, BTU)kWh · m3 · BTU · GJ · other	kWh
`optimization_action`	string	Description or code of the optimization action taken (if any)7 actions · optional	Lighting_dimming
`notes`	string	Additional comments or notes about the log entryoptional	Peak morning usage, autom…
Numbers 3 columns
`energy_consumed`	float	Amount of energy consumed during the logging period (kWh, m3, etc.)0 or more	150.2
`cost`	float	Cost of energy consumed during the logging period (in local currency)0 or more · optional	45.62
`carbon_emissions`	float	Estimated carbon emissions associated with the energy usage (kg CO2e)0 or more · optional	62.4
Dates and times 1 column
`timestamp`	datetime	Date and time when the energy usage was recorded	2023-12-31T08:25:00Z
True or false 3 columns
`is_peak_period`	boolean	Indicates if the energy usage occurred during a peak demand periodoptional	true
`optimization_flag`	boolean	Indicates if an optimization action was triggered as a result of this log entryoptional	true
`esg_reporting_flag`	boolean	Indicates if this log entry is included in ESG (Environmental, Social, Governance) reportingoptional	true

Use it for

An energy dashboard
The is_peak_period rate, energy_consumed by energy_unit and a breakdown of address_city. Excel, Power BI or Tableau.
Why do 37 of 125 rows have is_peak_period = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 125 rows.
Logs125
LOG-1001-A150.2kWh
LOG-1002-B85.5m3
LOG-1004-D220.3kWh
A software demo
Believable logs with building_id, building_name and address_street to fill a screen in front of a buyer.

This dataset125 rows21 columns

Yours1,000 rows21 columnsaddress_street: UK only

blueprint · smart-building-energy-optimization-logs

Behind this dataset

Same schema. As many rows as you need.

These 125 rows came out of a blueprint — 21 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

Records include hourly energy consumption per zone/device
Each entry tags occupancy status and weather impact
Logs feature AI-generated recommendations for optimization
Flagged anomalies indicate urgent maintenance needs
Includes compliance scoring for green lease standards

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: smart-building-energy-optimization-logs

What should your data show?

No signup. No card.

Sample rows

What the 125 rows show

Columns

Use it for

An energy dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?