CityLearn

该数据集由CityLearn提供，是一个建筑能源管理模拟器，它能够通过控制不同建筑中的能源应用，重塑电力需求的聚合曲线。该数据集包含了暖通空调和设备服务单元的能源模型，以及预计算的建筑物能源负荷，支持在能源管理领域对强化学习的研究。该数据集的规模涵盖了来自四个气候区的建筑群，其任务是通过强化学习实现能源管理系统控制。

This dataset is provided by CityLearn, a building energy management simulator that can reshape the aggregated power demand curve by controlling energy applications across different buildings. It includes energy models for heating, ventilation and air conditioning (HVAC) systems and equipment service units, as well as pre-computed building energy loads, supporting reinforcement learning research in the energy management field. The dataset covers building complexes from four climate zones, with the task of implementing energy management system control through reinforcement learning.

搜集汇总

背景与挑战

背景概述

CityLearn是一个建筑能源管理模拟器数据集，用于通过控制建筑能源应用来重塑电力需求曲线。它包含暖通空调和设备服务单元的能源模型、预计算的建筑物能源负荷，支持强化学习在能源管理领域的研究，并覆盖四个气候区的建筑群，旨在实现基于强化学习的能源管理系统控制。