Electricity consumption of customers taking part in a local demand response program

Set of anonymized data on the electricity consumption of customers who participate in a local demand response program. The data points, recorded hourly, show variations in electricity use based on weather and time of day. Data is gathered from Hydro-Québec smart meters, Hilo smart thermostats and weather intelligence for the Montréal region, and covers the following:

Hourly consumption per substation
Average inside temperature
Average thermostat setpoint
Number of customers connected
Number of smart thermostats connected
Presence of demand response events
Calendar data
Air temperature
Wind speed
Solar radiance
Relative humidity
Snow precipitation

Methods
Hourly consumption by substation
The hourly consumption of a substation is calculated by aggregating the individual hourly consumption data from the smart meters of all Hydro-Québec customers served by the substation.

Average indoor temperature and thermostat setpoint
Average indoor temperatures and temperature settings are measured using Hilo smart thermostats. The data is then aggregated on an hourly basis and per substation.

Weather
Real-time weather intelligence, i.e., the average outdoor temperature, wind speed, solar energy, relative humidity and snowfall, is updated hourly using the Weatherbit API.

Presence of demand response events (Hilo challenge)
The presence of a demand response event in the hour is determined by the Hilo challenge history.
A Hilo challenge is an event during which Hilo encourages its customers to reduce their home electricity use. Each challenge has three phases that normally take place at the following times:

Morning challenge: optional preheating phase (4 to 6 a.m.), reduction phase (6 to 10 a.m.), recovery phase (10 to 11 a.m.)
Evening challenge: optional preheating phase (3 to 5 p.m.), reduction phase (5 to 9 p.m.), recovery phase (9 to 10 p.m.)

Additional Information

Update frequency: Unscheduled
Sampling frequency: hourly
Notices and conditions of use: The information provided represents raw data. The quality of the data is not guaranteed, and the data are subject to change without notice.