Citylearn 2022 competition
收藏arXiv2025-09-30 收录
下载链接：
https://arxiv.org/abs/2407.03368
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资源简介：
该数据集旨在评估在能源管理应用中，电池调度场景下预测和优化算法的性能。它包含了预测误差、优化评分以及与预测准确性和稳定性相关的各项属性。该数据集的规模覆盖了具有协同行为的多栋建筑，其任务是对预测和优化算法的性能进行评估。
This dataset is designed to evaluate the performance of prediction and optimization algorithms in battery scheduling scenarios within energy management applications. It includes prediction errors, optimization scores, and various attributes related to prediction accuracy and stability. The dataset covers multiple buildings with collaborative operational behaviors, and its core task is to assess the performance of prediction and optimization algorithms.
提供机构：
Citylearn competition organizers
