Household energy consumption enriched with weather data in northeast of Mexico
Description
The dataset encompasses information obtained from energy consumption in a residence located in the northeast region of Mexico over a span of 14 months. Each data point was recorded at one-minute intervals and features energy-related metrics enriched with weather data provided by OpenWeather, under a free license. The variable descriptions are outlined as follows: date active_power current voltage reactive_power apparent_power power_factor main (categorical weather conditions) description (detailed categorical weather conditions) temp feels_like temp_min temp_max pressure humidity speed (wind speed) deg (wind degree) temp_t+1 (forecast of temperature for the next day) feels_like_t+1 (forecast of feels like for the next day) This dataset provides a comprehensive insight into the energy dynamics of the household, coupled with meteorological influences, offering a nuanced perspective on energy consumption patterns over time.
Files
Steps to reproduce
We used a smart meter device (AT-Q-SY1 WiFi) connected to the main energy source of the house. The data was transmitted to a Raspberry Pi through WiFi. We used a python script to organize and store the data. In addition, we connected to OpenWeather API to get weather data. Finally, we used python to integrate all data together.
Institutions
- Universidad Autonoma de Coahuila