通过示范应用系统运行生成的省级新能源日内供电保障能力预测数据

数据集包括了模型输入库、算法库、预测结果文件夹三个文件夹。模型输入库文件夹下分别有风电/光伏/新能源的低出力、保供出力、供电保障概率的九个外部信息数据文件夹，存储了模型的各项所需要的外部输入信息，包括了缓存与预测对象信息；算法库文件夹下分别有风电/光伏/新能源的低出力、保供出力、供电保障概率的九个模型文件夹，每个文件夹中又分为存储了模型的models文件夹与执行预测的算法文件；预测结果文件夹内分别存储了保障出力(bzcl)、低出力(dcl)、供电概率(gdgl)的预测结果，同时也保存了过程文件(guochengwenjian)与预测的功率参考结果(power)The dataset consists of three core folders: the Model Input Library, the Algorithm Library, and the Prediction Results Folder. Under the Model Input Library, there are nine external information data folders, corresponding to the scenarios of low output, guaranteed output, and power supply guarantee probability for wind power, photovoltaic, and new energy respectively. These folders store all external input information required by the model, including cache and prediction object information. Under the Algorithm Library, there are nine model folders matching the three scenarios for each of the three energy categories (wind power, photovoltaic, new energy). Each model folder is further split into a models subfolder for storing model files and the algorithm files used to execute prediction tasks. The Prediction Results Folder contains the prediction results for guaranteed output (bzcl), low output (dcl), and power supply probability (gdgl), as well as the process files (guochengwenjian) and the predicted power reference results (power).

搜集汇总

背景与挑战

背景概述

该数据集基于示范应用系统运行生成，专注于省级新能源的日内供电保障能力预测。它包含模型输入库、算法库和预测结果等文件夹，涵盖风电、光伏及新能源的低出力、保供出力和供电保障概率相关数据。数据集用于支持供电能力的预测与分析，涉及多种文件格式如CSV、H5等。