Energy Consumption Peak Demand Intervals
This dataset provides detailed records of household and commercial energy consumption during peak demand intervals, including site identifiers, interval timing, energy usage, peak demand, and contextual factors such as demand response events, location, tariff rates, and temperature. It is ideal for grid operators, utilities, and researchers seeking to optimize grid management, design targeted energy-saving campaigns, and analyze consumption patterns under high-demand conditions.
Sample rows
preview · 8 of 120 rows · all 15 columns| record_idstring | site_typestring | peak_demand_kwfloat | demand_response_eventboolean | site_citystring | site_idstring | interval_startdatetime | interval_enddatetime | energy_consumed_kwhfloat | site_street_addressstring | site_statestring | site_postal_codestring | site_countrystring | tariff_ratefloat | temperature_celsiusfloat |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| REC00001 | household | 3.1 | true | Columbus | SITE-A12B | 2023-07-17T15:00:00Z | 2023-07-17T16:00:00Z | 5.4 | 1042 Maple Ave | OH | 43210 | USA | 0.16 | 35.2 |
| REC00002 | household | 2 | false | Springfield | SITE-X9C3 | 2024-01-07T22:00:00Z | 2024-01-07T23:00:00Z | 3.2 | 88 Elm St | IL | 62704 | USA | 0.13 | -7.3 |
| REC00003 | commercial | 88.3 | false | Beijing | SITE-H5J8 | 2022-10-21T08:00:00Z | 2022-10-21T14:00:00Z | 320.4 | 88 Yuanda Rd | Beijing | 100097 | China | 0.1 | 27.1 |
| REC00004 | household | 1.5 | false | Toledo | SITE-3P1K | 2022-03-12T13:00:00Z | 2022-03-12T14:00:00Z | 2.8 | 7747 Oak Lane | OH | 43606 | USA | 0.14 | 9.7 |
| REC00005 | commercial | 279.6 | true | Dubai | SITE-K2D7 | 2023-08-14T10:00:00Z | 2023-08-14T16:00:00Z | 2105.7 | 305 Sheikh Zayed Rd | Dubai | 00000 | UAE | 0.15 | 41.8 |
| REC00006 | household | 0.7 | false | Baton Rouge | SITE-Q3L9 | 2024-02-12T07:00:00Z | 2024-02-12T07:30:00Z | 1 | 2376 Willow Ct | LA | 70808 | USA | 0.12 | 6.2 |
| REC00007 | household | 4.2 | true | Orlando | SITE-W2E4 | 2023-11-05T19:00:00Z | 2023-11-05T20:00:00Z | 6.5 | 513 Cherry Blvd | FL | 32819 | USA | 0.17 | 31.4 |
| REC00008 | commercial | 1280.5 | false | Houston | SITE-Y1F2 | 2022-07-01T00:00:00Z | 2023-07-01T00:00:00Z | 156000 | 4200 Industrial Park Dr | TX | 77041 | USA | 0.05 | 30.1 |
| REC00009 | household | 0.4 | false | Cleveland | SITE-Z8M7 | 2023-12-31T23:30:00Z | 2024-01-01T00:00:00Z | 0.7 | 1952 River Rd | OH | 44113 | USA | 0.19 | -6.1 |
| REC00010 | commercial | 41.7 | true | Singapore | SITE-SN8D | 2023-09-18T11:00:00Z | 2023-09-18T12:00:00Z | 145.3 | 12 Raffles Place | blank | 048621 | Singapore | 0.2 | 34.6 |
| REC00011 | commercial | 97.5 | false | Sydney | SITE-B7Q1 | 2022-12-10T06:00:00Z | 2022-12-10T12:00:00Z | 462.8 | 11 Circular Quay | NSW | 2000 | Australia | 0.13 | 25.9 |
| REC00012 | household | 2.7 | false | Miami | SITE-U4T6 | 2022-05-19T20:00:00Z | 2022-05-19T21:00:00Z | 5.1 | 2116 Pine St | FL | 33133 | USA | 0.18 | 29.7 |
| REC00013 | household | 1.1 | false | New York | SITE-EX2M | 2023-04-03T17:00:00Z | 2023-04-03T17:30:00Z | 1.6 | 707 Mulberry St | NY | 10001 | USA | 0.17 | 19.5 |
| REC00014 | household | 8.8 | true | Los Angeles | SITE-PQ6Z | 2023-07-22T14:00:00Z | 2023-07-22T15:00:00Z | 10.8 | 3917 Cedar Way | CA | 90019 | USA | 0.2 | 40.7 |
| REC00015 | household | 0 | false | blank | SITE-PL1N | 2022-11-26T08:00:00Z | 2022-11-26T09:00:00Z | 0 | blank | blank | blank | blank | 0.11 | -12 |
| REC00016 | commercial | 112.2 | true | London | SITE-R2D2 | 2024-01-19T08:00:00Z | 2024-01-19T14:00:00Z | 3050.8 | 33 Queen's Road | England | SW1A 1AA | UK | 0.21 | 41.2 |
| REC00017 | commercial | 154 | false | Paris | SITE-FL9C | 2023-05-02T08:00:00Z | 2023-05-02T20:00:00Z | 800.1 | 25 Champs-Élysées | Ile-de-France | 75008 | France | 0.27 | 30.4 |
| REC00018 | household | 2.1 | false | Baton Rouge | SITE-Q8D6 | 2022-06-15T10:00:00Z | 2022-06-15T11:00:00Z | 4 | 812 Spruce St | LA | 70810 | USA | 0.13 | 27.2 |
| REC00019 | commercial | 52.3 | true | Madrid | SITE-Z9F8 | 2023-12-12T09:00:00Z | 2023-12-12T10:00:00Z | 210.7 | 108 Avenida de América | Madrid | 28028 | Spain | 0.3 | 39.6 |
| REC00020 | household | 2.2 | false | Cincinnati | SITE-X7K5 | 2022-12-22T17:00:00Z | 2022-12-22T18:00:00Z | 4.7 | 985 Sycamore Ave | OH | 45202 | USA | 0.15 | -4.8 |
What the 120 rows show
from the 120-row sampleHousehold (site type) stands out: mean peak_
- 35%demand_
response_ event = true - 6.4median peak_
demand_ kw - 10site countries
- 26site states
- 8.2median energy_
consumed_ kwh - 0.18median tariff_
rate
Median 6.4, from 0.0 to 1,281.
- string 8
- float 4
- datetime 2
- boolean 1
Columns
15 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 8 columns | |||
record_id | string | Unique identifier for each energy consumption recordunique | REC00001 |
site_id | string | Unique identifier for the household or commercial site | SITE-A12B |
site_type | string | Type of site where energy is consumed (household or commercial)household · commercial | household |
site_street_address | string | Street address of the siteoptional | 1042 Maple Ave |
site_city | string | City where the site is locatedoptional | Columbus |
site_state | string | State or province where the site is locatedoptional | OH |
site_postal_code | string | Postal code of the siteoptional | 43210 |
site_country | string | Country where the site is located10 countries · optional | USA |
| Numbers 4 columns | |||
energy_consumed_kwh | float | Total energy consumed during the interval in kilowatt-hours (kWh)0 or more | 5.4 |
peak_demand_kw | float | Maximum instantaneous demand during the interval in kilowatts (kW)0 or more | 3.1 |
tariff_rate | float | Energy tariff rate applied during the interval (per kWh, in local currency)0 or more · optional | 0.16 |
temperature_celsius | float | Ambient temperature at the site during the interval, in degrees Celsiusoptional | 35.2 |
| Dates and times 2 columns | |||
interval_start | datetime | Start timestamp of the peak demand interval | 2023-07-17T15:00:00Z |
interval_end | datetime | End timestamp of the peak demand interval | 2023-07-17T16:00:00Z |
| True or false 1 column | |||
demand_response_event | boolean | Indicates if a demand response event was active during the interval | true |
Use it for
An energy dashboard
The demand_
response_ event rate, peak_ demand_ kw by site_ type and a breakdown of site_ city. Excel, Power BI or Tableau. Why do the 65 household rows have a mean peak_
demand_ kw of 2.7? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Records120REC000013.1householdREC000022householdREC00005279.6commerci…
A software demo
Believable records with site_
id, site_ type and interval_ start to fill a screen in front of a buyer.
This dataset120 rows15 columns
Yours1,000 rows15 columnssite_id: UK only
blueprint · energy-consumption-peak-demand-intervals
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 15 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
- Intervals recorded at 15-minute increments
- Flag intervals exceeding threshold consumption
- Aggregate peak demand occurrences by user
- Peak intervals tagged by time of day
- Outliers flagged for audit
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
- energy-consumption-peak-demand-intervals