ESHED-38 — Five-Year Smart Home Energy Dataset
70,718 daily household records with 47 columns: smart-meter energy use for 38 Erbil homes, weather variables and household survey attributes.
Smart meters, household and building consumption, grid stability simulations, solar and renewable generation records for energy analytics.
70,718 daily household records with 47 columns: smart-meter energy use for 38 Erbil homes, weather variables and household survey attributes.
15-minute ESP32 environmental and solar-voltage data: 84 training days and 31 validation days in Zapopan, plus a separate Ulm trial; forecasts are one step ahead.
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.
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.
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.
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.
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.
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.
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.
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.
Time-stamped records with energy consumption, voltage, current, and environmental parameters from smart grid operations.
Comprehensive power consumption data from smart grid infrastructure for energy analytics and demand prediction.
Hourly smart grid operations data showing seasonal dynamics in energy generation and consumption patterns.
A comprehensive, high-quality dataset from a network of ground monitoring stations across Saudi Arabia, measuring solar radiation components, wind resources, and related meteorological parameters. Essential for renewable energy feasibility studies, smart grid planning, and machine learning models in energy forecasting.
10,000 simulated instances of a 4-node star electrical grid implementing decentralized smart grid control, with 12 features describing reaction times, power consumption/production, and price elasticity for predicting grid stability.
IoT sensor data from smart building systems for energy management. Contains real-time power consumption, HVAC operations, lighting control, and appliance-level energy disaggregation data.