Comprehensive energy dataset from 255 UK homes covering electricity, gas, room temperature, humidity, and appliance-level data for a 39-home sub-cohort. 23 months of data. CSV format. Published on Edinburgh DataShare (DOI: 10.7488/ds/2836). Described in Nature Scientific Data 2021.
Real IoT smart home energy dataset from a testbed of 5 household appliances each connected to an individual smart meter. 507 KB CSV. Published January 2025 on Zenodo. Used for appliance-level energy monitoring, household energy disaggregation, and smart meter analytics.
Anonymised smart meter electricity consumption data from the CKW Group distribution network in Lucerne Canton, Switzerland. 15-minute resolution, covering 2021–2024. Parquet and CSV formats. Published on Zenodo 2024. Used for large-scale household energy analytics and smart grid research.
Residential smart-home power dataset with 2,075,259 one-minute measurements from a French household over 47 months. TXT/CSV-style tabular format. Used for load forecasting, NILM, and energy behavior analysis.
Smart-home energy dataset with detailed electrical, environmental, and operational streams from 3 real homes plus minute-level electricity data from 400+ homes. Open portal export format. Used for sustainable home and demand analysis.
Long-duration smart-home utility dataset with two years of minutely electricity, water, and natural gas measurements plus weather and billing data. CSV/TSV/RData formats. Used for forecasting, NILM, and resource analytics.
Appliance-level and aggregate electricity dataset from 20 UK households sampled every 8 seconds. CSV files, one per home. Built for energy conservation, NILM, demand response, and smart-home automation research.
Open-access domestic electricity dataset from 5 UK homes with whole-house demand at 16 kHz and appliance channels at 6-second intervals. Research-paper dataset release. Used for NILM, load disaggregation, and smart-meter analytics.
A real-world household dataset from 13 residential properties in Portugal over nearly three years, with 15-minute resolution measurements of electrical load, solar PV generation, weather parameters, and electricity market prices, published in Nature Scientific Data.
Real operational electricity system records from ISO New England (ISONE) covering urban smart city energy activity including demand, generation, pricing, and grid operations across multiple metropolitan areas for energy analytics and forecasting.