优化调度场景集

光电催化与光伏电解制氢的调度场景集包含2013-2024年逐小时辐照度数据经日尺度切片、特征聚类生成的5类典型天气型态（晴朗稳定型、晴朗波动型、多云型、阴雨型、极端混合型），覆盖不同辐照强度与波动特征，为制氢系统优化调度提供分布可控的输入场景。

The scheduling scenario set for photoelectrocatalytic and photovoltaic electrolytic hydrogen production is developed using hourly irradiance data from 2013 to 2024. Through daily-scale slicing and feature clustering, five typical weather patterns are generated: stable clear-sky, fluctuating clear-sky, cloudy, rainy, and extreme mixed patterns. This dataset covers diverse irradiance intensities and fluctuation characteristics, providing distribution-controllable input scenarios for the optimal scheduling of hydrogen production systems.

搜集汇总

背景与挑战

背景概述

该数据集为光电催化与光伏电解制氢的优化调度提供场景集，基于2013-2024年逐小时辐照度数据，通过日尺度切片和特征聚类生成了五类典型天气型态，覆盖了不同的辐照强度与波动特征。