San Diego Residential Energy Consumption and Weather Dataset for Home Energy Management Systems

This dataset provides minute-resolution residential energy and environmental data for one full year, designed for home energy management system (HEMS) research. It includes five CSV files: base load consumption (Pecan Street), weather conditions (NOAA), grid carbon intensity (CityLearn), electricity pricing (CityLearn), and household demand patterns (synthetically generated). With 525,600 data points per variable at 1-minute resolution, this dataset supports the development and evaluation of intelligent energy control algorithms, reinforcement learning policies, and user preference modeling for residential energy optimization.

本数据集提供了一整年的分钟级分辨率住宅能源与环境数据，专为家庭能源管理系统（Home Energy Management System, HEMS）研究打造。其包含5个逗号分隔值（Comma-Separated Values, CSV）文件，分别为：基准负荷能耗数据（Pecan Street）、天气状况数据（NOAA）、电网碳强度数据（CityLearn）、电价数据（CityLearn）以及合成生成的家庭需求模式数据。在1分钟分辨率下，每个变量均包含525600个数据点，本数据集可支撑智能能源控制算法、强化学习策略以及面向住宅能源优化的用户偏好建模的开发与评估工作。