IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment

The dataset contains IEEE 30-bus, 118-bus, 300-bus dataset we generated for learning for unit commitment. The dataset consists of data from both normal and extended time scales, with a total time span of one year. A data point is defined as the load demand for each period and the on/off status of the units at that moment. This dataset can be used to train a neural network to learn the mapping from load demand information to the on/off status of the units.

本数据集包含我们为机组组合（unit commitment）学习任务生成的IEEE 30节点、118节点、300节点电力系统数据集。数据集涵盖常规与拓展时间尺度下的样本数据，总时间跨度为一年。单条数据样本定义为对应时段的负荷需求，以及该时刻各机组的启停状态。本数据集可用于训练神经网络，以学习从负荷需求信息到机组启停状态的映射关系。