Telecommunications
24 columns
120 rows
8 formats

Telecom Base Station Energy Audit

This dataset provides detailed energy consumption, emissions, and operational data for telecom base stations, supporting sustainability analysis, ESG reporting, and network optimization. It includes granular information on energy sources, site characteristics, and audit periods, enabling organizations to monitor environmental impact, identify inefficiencies, and drive cost-effective improvements.

last updated 3 Feb 2026
by GoMask

The brief that made it

ESG and sustainability reporting for telecom infrastructure

Sample rows

preview · 8 of 120 rows · all 24 columns

base_station_idstring	energy_sourcestring	uptime_percentagefloat	address_statestring	site_namestring	operator_namestring	latitudefloat	longitudefloat	address_streetstring	address_citystring	address_postal_codestring	address_countrystring	installation_datedate	energy_audit_datedate	energy_consumption_kwhfloat	audit_period_daysinteger	diesel_consumption_litersfloat	solar_generation_kwhfloat	grid_consumption_kwhfloat	co2_emissions_kgfloat	renewable_energy_percentagefloat	network_technologystring	site_typestring	notesstring
BS001	grid	99.9	NY	Central City Macrocell	TelecomX	40.7128	-74.006	123 Main St	New York	10001	USA	2017-08-15	2024-03-12	4320	60	0	0	4320	1871	0	5G	macro	High traffic downtown, standard operation
BS002	hybrid	99.4	AZ	Desert Edge Hybrid	TelecomWorld	33.4484	-112.074	45 Sandstone Rd	Phoenix	85004	USA	2019-04-22	2024-03-20	950	31	65	320	565	128	33.7	4G	rooftop	Energy optimized, backup diesel
BS003	solar	99.8	blank	Northern Microcell Station	MobilityNet	51.5074	-0.1278	blank	London	SW1A1AA	UK	2016-06-10	2024-04-04	180	21	0	180	0	0	100	4G	micro	Off-grid, zero downtime
BS004	diesel	83.2	blank	Arctic Diesel Outpost	ConnectTel	78.2232	15.6469	blank	Longyearbyen	9170	Norway	2012-11-02	2024-03-25	320	12	110	0	0	295	0	2G	macro	Minimal operation due to extreme climate
BS005	hybrid	99.2	blank	Riverfront Rooftop Node	TelecomWorld	52.52	13.405	21 Spreeufer	Berlin	10117	Germany	2018-05-08	2024-04-11	870	28	25	180	665	108	20.7	5G	rooftop	Energy optimized, urban backup diesel
BS006	grid	99.6	MH	Mumbai Indoor Hub	MobilityNet	19.076	72.8777	17 Marine Lines	Mumbai	400020	India	2015-09-14	2024-03-18	210	15	0	0	210	87	0	3G	indoor	Mall location, energy-saving mode
BS007	grid	99.8	blank	Tokyo Macrocell Tower	TelecomX	35.6895	139.6917	2-1 Shinjuku	Tokyo	160-0022	Japan	2018-07-30	2024-03-27	5280	80	0	0	5280	2113	0	5G	macro	Central business district, high traffic
BS008	grid	99.1	RJ	Rio Indoor Tunnel	TelecomWorld	-22.9068	-43.1729	blank	Rio de Janeiro	22290-240	Brazil	2016-03-02	2024-04-01	145	9	0	0	145	63	0	2G	indoor	Located in subway tunnel
BS009	diesel	57.8	blank	Antarctic Diesel Node	TelecomX	-77.8419	166.6863	blank	McMurdo	00001	Antarctica	2013-12-17	2024-03-10	68	5	35	0	0	88	0	other	macro	Minimal operation, research support
BS010	hybrid	98.7	blank	Berlin Rooftop Hybrid	ConnectTel	52.52	13.4049	9 Alexanderplatz	Berlin	10178	Germany	2019-11-12	2024-03-21	980	31	45	310	625	116	31.6	5G	rooftop	Energy optimized, diesel backup
BS011	diesel	59.2	blank	Ushuaia Diesel Microcell	MobilityNet	-54.8019	-68.303	blank	Ushuaia	V9410	Argentina	2011-01-25	2024-04-02	32	4	14	0	0	38	0	other	micro	Minimal operation, extreme climate
BS012	solar	99.7	blank	Dubai Solar Hub	TelecomWorld	25.2048	55.2708	Al Saada St	Dubai	00000	UAE	2017-02-14	2024-03-19	225	15	0	225	0	0	100	4G	micro	Off-grid, zero downtime
BS013	grid	99.1	DL	Delhi Macrocell Tower	TelecomX	28.6139	77.209	Rajpath	New Delhi	110001	India	2018-02-10	2024-04-09	3470	45	0	0	3470	1503	0	4G	macro	Central location, high reliability
BS014	hybrid	99.3	blank	Frankfurt Rooftop Hybrid	TelecomWorld	50.1109	8.6821	Zeil 106	Frankfurt	60313	Germany	2020-01-23	2024-04-13	1090	30	80	390	620	142	35.8	5G	rooftop	Urban optimized, high solar share
BS015	grid	98.9	NSW	Sydney Indoor Cell	MobilityNet	-33.8688	151.2093	George St	Sydney	2000	Australia	2016-08-05	2024-03-22	130	11	0	0	130	59	0	3G	indoor	Shopping mall location
BS016	grid	99.5	blank	Moscow Macrocell Tower	TelecomX	55.7558	37.6173	Tverskaya St	Moscow	101000	Russia	2017-05-18	2024-04-06	4130	60	0	0	4130	1789	0	5G	macro	Major urban macrocell
BS017	solar	99.9	blank	Paris Microcell Solar	TelecomWorld	48.8566	2.3522	blank	Paris	75001	France	2015-03-17	2024-03-30	110	14	0	110	0	0	100	3G	micro	Zero emissions, off-grid
BS018	grid	99.8	CA	Los Angeles Macrocell	ConnectTel	34.0522	-118.2437	Sunset Blvd	Los Angeles	90012	USA	2019-09-04	2024-03-24	6100	90	0	0	6100	2632	0	5G	macro	Ultra high traffic macrocell
BS019	hybrid	99.1	TN	Chennai Rooftop Hybrid	TelecomWorld	13.0827	80.2707	Mount Rd	Chennai	600002	India	2021-04-02	2024-04-08	820	22	35	220	565	97	26.8	5G	rooftop	Backup diesel, energy optimized
BS020	grid	99	blank	Milan Indoor Tunnel	MobilityNet	45.4642	9.19	blank	Milan	20122	Italy	2016-11-22	2024-03-26	180	15	0	0	180	76	0	2G	indoor	Tunnel infrastructure, low power

What the 120 rows show

from the 120-row sample

Diesel (energy source) stands out: mean uptime_percentage is 63.5, against 99.5 for the rest.

99.5median uptime_percentage
4operator names
4site types
5network technologies
23address countries
664.9median energy_consumption_kwh

Mean uptime_percentage by energy_source120 rows

uptime_percentage120 rows, in bands of 10

Median 99.5, from 50.7 to 99.9.

address_state46 rows with a value · 74 left blank

CA7
NSW6
DL5
VIC5
MH4
RJ4
NY3
SP2
MOW2
AZ1

24 columns by typefrom the column list below

string 12
integer 1
float 9
date 2

Columns

24 columns in three groups

blueprint · 24 columns
column	type	description	example
Text 12 columns
`base_station_id`	string	Unique identifier for the telecom base stationunique	BS001
`site_name`	string	Name or label of the base station site	Central City Macrocell
`operator_name`	string	Name of the telecom operator managing the base station4 names	TelecomX
`address_street`	string	Street address of the base stationoptional	123 Main St
`address_city`	string	City where the base station is locatedoptional	New York
`address_state`	string	State or region of the base stationoptional	NY
`address_postal_code`	string	Postal code of the base station locationoptional	10001
`address_country`	string	Country of the base station	USA
`energy_source`	string	Primary energy source used (e.g., grid, diesel, solar, hybrid)grid · diesel · solar · hybrid · other	grid
`network_technology`	string	Type of network technology supported (e.g., 2G, 3G, 4G, 5G)2G · 3G · 4G · 5G · other	5G
`site_type`	string	Type of base station site (e.g., macro, micro, rooftop, indoor)macro · micro · rooftop · indoor · other	macro
`notes`	string	Additional comments or observations from the auditoptional	Off-grid, zero downtime
Numbers 10 columns
`latitude`	float	Latitude coordinate of the base station location-90 to 90	40.7128
`longitude`	float	Longitude coordinate of the base station location-180 to 180	-74.006
`energy_consumption_kwh`	float	Total energy consumed by the base station during the audit period (in kWh)0 or more	4320
`audit_period_days`	integer	Number of days covered by the energy audit period1 or more	60
`diesel_consumption_liters`	float	Diesel fuel consumed during the audit period (in liters)0 or more · optional	0
`solar_generation_kwh`	float	Solar energy generated during the audit period (in kWh)0 or more · optional	0
`grid_consumption_kwh`	float	Grid electricity consumed during the audit period (in kWh)0 or more · optional	4320
`co2_emissions_kg`	float	Total CO2 emissions generated by the base station during the audit period (in kilograms)0 or more	1871
`renewable_energy_percentage`	float	Percentage of total energy consumption supplied by renewable sources0 to 100 · optional	0
`uptime_percentage`	float	Percentage of time the base station was operational during the audit period0 to 100 · optional	99.9
Dates and times 2 columns
`installation_date`	date	Date when the base station was installed or commissionedoptional	2017-08-15
`energy_audit_date`	date	Date when the energy audit was conducted	2024-03-12

Use it for

A telecommunications dashboard
Uptime_percentage by energy_source and a breakdown of address_state. Excel, Power BI or Tableau.
Why do the 14 diesel rows have a mean uptime_percentage of 63.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Base stations120
BS00199.9grid
BS00299.4hybrid
BS00399.8solar
A software demo
Believable base stations with site_name, operator_name and latitude to fill a screen in front of a buyer.

This dataset120 rows24 columns

Yours10,000 rows24 columnssite_name: UK only

blueprint · telecom-base-station-energy-audit

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 24 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 a unique base station site for a single month.
Energy consumption values are in kWh, recorded from on-site smart meters.
Emission calculations are based on local grid mix and energy usage.
Columns include location, equipment age, uptime percentage, and renewable energy usage ratio.
Data excludes backup generator usage periods to focus on standard operations.

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: telecom-base-station-energy-audit

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

A telecommunications dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Telecommunications

What should your data show?