Energy
23 columns
120 rows
8 formats

EV Charging Station Utilization Logs

This dataset provides detailed logs of electric vehicle charging sessions across urban and suburban sites, including session durations, energy delivered, peak demand events, and operational statuses. It enables city planners and sustainability officers to analyze infrastructure utilization, identify peak demand patterns, and optimize station deployment for green mobility initiatives and ESG reporting.

last updated 28 Jan 2026
by GoMask

The brief that made it

Optimizing EV charging infrastructure placement and capacity planning

Sample rows

preview · 8 of 120 rows · all 23 columns

session_idstring	user_typestring	session_costfloat	peak_demand_eventboolean	address_citystring	station_idstring	site_idstring	site_namestring	site_typestring	address_streetstring	address_statestring	address_postal_codestring	address_countrystring	connector_typestring	session_start_timedatetime	session_end_timedatetime	session_duration_minutesfloat	energy_delivered_kwhfloat	max_power_kwfloat	user_authenticatedboolean	session_statusstring	station_status_at_startstring	station_status_at_endstring
sess-0001	public	11.45	false	Metroville	st-101	site-A1	Downtown Garage	urban	123 Main St	NY	10001	USA	CCS	2024-05-01T08:05:00	2024-05-01T09:50:00	105	38.2	50	true	completed	available	available
sess-0002	public	0.85	false	Metroville	st-102	site-A1	Downtown Garage	urban	123 Main St	NY	10001	USA	Type2	2024-05-01T10:12:00	2024-05-01T10:22:00	10	2.2	11	true	interrupted	occupied	available
sess-0003	public	7.8	false	Metroville	st-103	site-A2	Union Plaza	urban	45 Union Ave	NY	10002	USA	Type2	2024-05-01T11:55:00	2024-05-01T13:23:00	88	25.7	22	true	completed	available	available
sess-0004	employee	32.75	true	Greenfield	st-104	site-B2	Greenfield Mall	suburban	78 Commerce Rd	NJ	07001	USA	CHAdeMO	2024-05-01T13:00:00	2024-05-01T17:10:00	250	95.3	62	true	completed	available	available
sess-0005	employee	10.85	false	Greenfield	st-105	site-B2	Greenfield Mall	suburban	78 Commerce Rd	NJ	07001	USA	Type2	2024-05-01T14:34:00	2024-05-01T16:04:00	90	32.2	22	true	completed	available	occupied
sess-0006	fleet	60	true	Milltown	st-106	site-B3	Milltown Corporate Lot	suburban	150 Mill Rd	NJ	07002	USA	CCS	2024-05-01T15:22:00	2024-05-01T21:22:00	360	145	80	true	completed	available	available
sess-0007	fleet	0	false	Milltown	st-107	site-B3	Milltown Corporate Lot	suburban	150 Mill Rd	NJ	07002	USA	CHAdeMO	2024-05-01T16:10:00	2024-05-01T16:15:00	5	0.5	5	false	error	maintenance	maintenance
sess-0008	public	4.3	false	Riverside	st-108	site-C1	Riverside Park	suburban	1 Park Ln	NJ	07003	USA	CCS	2024-05-01T17:20:00	2024-05-01T18:10:00	50	13	22	true	completed	occupied	available
sess-0009	public	2.85	false	Metroville	st-109	site-A3	City Hall Lot	urban	200 Civic Dr	NY	10003	USA	Type2	2024-05-01T18:33:00	2024-05-01T19:13:00	40	8.5	11	true	completed	available	available
sess-0010	fleet	10.1	true	Greenfield	st-110	site-B4	Greenfield Plaza	suburban	11 Plaza Blvd	NJ	07004	USA	CHAdeMO	2024-05-01T19:00:00	2024-05-01T20:30:00	90	28.7	22	true	completed	available	occupied
sess-0011	public	6.5	false	Metroville	st-111	site-A3	City Hall Lot	urban	200 Civic Dr	NY	10003	USA	CCS	2024-05-01T20:10:00	2024-05-01T21:25:00	75	21	22	true	completed	available	available
sess-0012	public	0.95	false	Metroville	st-112	site-A4	Metroville Central	urban	501 Center St	NY	10004	USA	Type2	2024-05-02T07:45:00	2024-05-02T08:00:00	15	3.2	11	false	interrupted	occupied	available
sess-0013	employee	30.5	true	Milltown	st-113	site-B5	Milltown East	suburban	600 Mill Ave	NJ	07005	USA	CCS	2024-05-02T08:30:00	2024-05-02T12:30:00	240	90	62	true	completed	available	available
sess-0014	public	7.6	false	Metroville	st-114	site-A4	Metroville Central	urban	501 Center St	NY	10004	USA	Type2	2024-05-02T09:50:00	2024-05-02T11:20:00	90	24	22	true	completed	available	occupied
sess-0015	public	0	false	Riverside	st-115	site-C2	Riverside Maintenance Yard	suburban	400 Parkside Dr	NJ	07006	USA	Type2	2024-05-02T11:30:00	2024-05-02T12:00:00	30	6.5	10	false	error	maintenance	maintenance
sess-0016	fleet	37.95	true	Riverside	st-116	site-C2	Riverside Maintenance Yard	suburban	400 Parkside Dr	NJ	07006	USA	CCS	2024-05-02T13:00:00	2024-05-02T17:30:00	270	99.5	62	true	completed	available	available
sess-0017	employee	11.8	false	Milltown	st-117	site-B5	Milltown East	suburban	600 Mill Ave	NJ	07005	USA	Type2	2024-05-02T14:10:00	2024-05-02T16:10:00	120	36	22	true	completed	available	available
sess-0018	public	2.95	false	Metroville	st-118	site-A5	Metroville East	urban	800 East St	NY	10005	USA	CCS	2024-05-02T17:45:00	2024-05-02T18:15:00	30	8.5	11	true	completed	available	available
sess-0019	public	4.15	false	Metroville	st-119	site-A5	Metroville East	urban	800 East St	NY	10005	USA	Type2	2024-05-02T18:48:00	2024-05-02T19:43:00	55	12.7	11	true	completed	occupied	available
sess-0020	employee	29.9	true	Riverside	st-120	site-C3	Riverside Corporate	suburban	1000 Riverside Dr	NJ	07007	USA	CCS	2024-05-02T20:10:00	2024-05-03T00:10:00	240	87	62	true	completed	available	available

What the 120 rows show

from the 120-row sample

Fleet (user type) stands out: mean session_cost is 36.4, against 8.2 for the rest.

30%peak_demand_event = true
8.2median session_cost
2site types
2address states
3connector types
3session statuses

Mean session_cost by user_type120 rows

session_cost120 rows, in bands of 10

Median 8.2, from 0.0 to 97.8.

address_city117 rows with a value · 3 left blank

Metroville50
Milltown25
Greenfield22
Riverside20

23 columns by typefrom the column list below

string 15
float 4
datetime 2
boolean 2

Columns

23 columns in four groups

blueprint · 23 columns
column	type	description	example
Text 15 columns
`session_id`	string	Unique identifier for each charging sessionunique	sess-0001
`station_id`	string	Unique identifier for the charging station	st-101
`site_id`	string	Unique identifier for the site or location where the station is installed	site-A1
`site_name`	string	Human-readable name of the site (e.g., 'Downtown Garage')optional	Downtown Garage
`site_type`	string	Type of site where the station is located (e.g., 'urban', 'suburban')urban · suburban	urban
`address_street`	string	Street address of the siteoptional	123 Main St
`address_city`	string	City where the site is located4 cities · optional	Metroville
`address_state`	string	State or province of the site2 states · optional	NY
`address_postal_code`	string	Postal or ZIP code of the siteoptional	10001
`address_country`	string	Country where the site is locatedoptional	USA
`connector_type`	string	Type of connector used for charging (e.g., 'Type2', 'CCS', 'CHAdeMO')3 types	CCS
`user_type`	string	Type of user (e.g., 'public', 'fleet', 'employee')public · fleet · employee · optional	public
`session_status`	string	Final status of the session (e.g., 'completed', 'interrupted', 'error')completed · interrupted · error	completed
`station_status_at_start`	string	Operational status of the station at session start (e.g., 'available', 'maintenance', 'occupied')available · maintenance · occupied · optional	available
`station_status_at_end`	string	Operational status of the station at session endavailable · maintenance · occupied · optional	available
Numbers 4 columns
`session_duration_minutes`	float	Duration of the charging session in minutes0 or more	105
`energy_delivered_kwh`	float	Total energy delivered during the session in kilowatt-hours0 or more	38.2
`max_power_kw`	float	Maximum power drawn during the session in kilowatts0 or more · optional	50
`session_cost`	float	Total cost charged to the user for the session (in local currency)0 or more · optional	11.45
Dates and times 2 columns
`session_start_time`	datetime	Timestamp when the charging session started	2024-05-01T08:05:00
`session_end_time`	datetime	Timestamp when the charging session ended	2024-05-01T09:50:00
True or false 2 columns
`peak_demand_event`	boolean	Indicates if the session occurred during a peak demand event	false
`user_authenticated`	boolean	Indicates if the user was authenticated (e.g., via RFID, app)optional	true

Use it for

An energy dashboard
The peak_demand_event rate, session_cost by user_type and a breakdown of address_city. Excel, Power BI or Tableau.
Why do the 21 fleet rows have a mean session_cost of 36.4?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Sessions120
sess-000111.45public
sess-000432.75employee
sess-000660fleet
A software demo
Believable sessions with station_id, site_id and site_name to fill a screen in front of a buyer.

This dataset120 rows23 columns

Yours10,000 rows23 columnssite_id: UK only

blueprint · ev-charging-station-utilization-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 23 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 one charging session at a unique station.
Session start and end timestamps must be in ISO 8601 format.
Peak demand events are flagged if session overlaps with site’s daily max kW threshold.
Station status (operational, maintenance, offline) updated daily.
Session kWh delivered must be positive and not exceed station’s rated capacity.

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: ev-charging-station-utilization-logs

What should your data show?

No signup. No card.

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?