Spice Simulated Solar Panel Dataset for Machine Learning Applications

The dataset is generated using LTSpice, where a Photovoltaics (PV) module consisting of 10 PV cells is connected in various electrical configurations and shading conditions. Due to the size of the dataset, it is ideal for training students and researchers to perform regression and classification tasks, such as predicting power output or categorizing shading levels. Due to its compact size, for educational purposes, no specialized GPU or cloud computing space is required for training students.本数据集通过LTspice生成，其中包含由10个光伏（Photovoltaics，PV）电池组成的光伏组件，并设置了多种电气连接配置与遮光工况。鉴于该数据集的规模特性，其非常适合用于训练学生与研究人员开展回归与分类任务，例如预测功率输出或对遮光等级进行分类。由于其体量小巧，用于教学场景时，学生无需专用图形处理器（Graphics Processing Unit，GPU）或云计算资源即可完成模型训练。