面向日前调度的区域分布式光伏集群短期功率预测数据集

本数据集为区域分布式光伏集群的短期功率预测数据，核心内容包括地市、区县和场站/集群多个层级的逐日短期功率预测数据，算法的持续迭代优化保证了短期功率预测数据精度水平，过程算例数据包括预报因子分析提取算例数据、数值天气预报网格嵌套加密订正算例数据、预测模型库与模型自动优选算法算例数据。其中，多层级逐日短期功率预测数据由区域分布式光伏集群功率预测系统上部署的区域分布式光伏发电集群短期功率预测模块逐日滚动计算得到，过程算例数据由预报因子分析提取模型、数值天气预报网格嵌套加密订正模块、预测模型库与模型自动优选算法分别计算得到。

This dataset provides short-term power prediction data for regional distributed photovoltaic (PV) clusters. Its core content covers daily short-term power prediction data at multiple levels, including municipal, district/county, and power station/cluster levels. Continuous iterative optimization of the algorithms ensures the accuracy of the short-term power prediction data. The intermediate case data includes three types: forecast factor analysis and extraction case data, numerical weather prediction (NWP) grid nested encryption and correction case data, as well as case data from the prediction model library and automatic model optimization algorithm. Specifically, the multi-level daily short-term power prediction data is generated via daily rolling calculations by the regional distributed PV cluster short-term power prediction module deployed on the regional distributed PV cluster power prediction system. The intermediate case data is separately calculated by the forecast factor analysis and extraction model, the NWP grid nested encryption and correction module, and the combination of the prediction model library and automatic model optimization algorithm.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于区域分布式光伏集群的短期功率预测，提供地市、区县和场站/集群多个层级的逐日预测数据。这些数据通过功率预测系统滚动计算生成，并包含预报因子分析、数值天气预报订正及模型优选等过程算例，以支持日前调度应用。