ELPVPower: A dataset for large scale PV power prediction using EL images of cells

Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associated with the measurements. This includes: peak_power: The measured maximum power of the module in [W] nominal_power: The given nominal power of the module in [W] pressure: The pressure that has been applied during mechanical load testing on a linear scale [0, 1] excitation_class: Indicates, whether this measurement has been taken at a `high` or `low` excitation current module_type: Module types as specified in the paper module_instance: Some of the module identities have been measured multiple times under varying conditions. Here, we specify the distinct instances power_group: Discretized `peak_power` used for stratified sampling fold_i_train: Indicates, whether this module is part of the i'th training fold of the crossvalidation

本数据集的测量数据以PNG图像（PNG）格式存储于`data`文件夹中。原始测量数据已在全局范围内重缩放至[0, 255]区间，以确保不同测量结果间的强度值具备可比性。
本数据集附带`data.csv`文件，其中包含与测量数据相关的额外元数据，具体包括：
peak_power（峰值功率）：经实测得到的组件最大输出功率，单位为瓦特（W）；
nominal_power（额定功率）：组件标注的额定输出功率，单位为瓦特（W）；
pressure（压力）：机械负载测试过程中施加的压力，取值处于线性标度[0, 1]区间内；
excitation_class（激励等级）：用于标识本次测量采用的是`high`（高）或`low`（低）激励电流；
module_type（组件类型）：论文中指定的组件类型；
module_instance（组件实例）：部分组件的同一标识在不同工况下被多次测量，本字段用于区分不同的测量实例；
power_group（功率分组）：经离散化处理的`peak_power`，用于分层抽样；
fold_i_train（训练折标识）：用于标识该组件是否属于交叉验证的第i个训练折。