2025-2060年考虑多种负荷的全国电力需求预测数据

2025-2060年全国电力需求预测数据包括低、中、高不同负荷需求预期下，以5年为间隔的各省份传统负荷、数据中心、5G、电动汽车、电制氢负荷全年小时级负荷数据，数据格式为.xlsx。容量约为401MB。共分为三个子文件夹，以场景名称命名，每个子文件夹中包括曲线、电量两个.xlsx文件，其中曲线文件中不同的工作簿提供了其名称对应省份或全国的8760曲线预测结果，单位为MW；电量文件则包含了各省及全国的用电量预测结果，单位为亿千瓦时。同时包括供需互动模式建模与模拟与负荷灵活性建模与聚合方法，数据格式为.py代码文件，数据量约为50MB。The national electricity demand forecast data spanning 2025 to 2060 includes annual hourly load data for traditional load, data center, 5G, electric vehicle, and power-to-hydrogen loads of each province at 5-year intervals under low, medium, and high load demand scenarios. The total capacity of the .xlsx format data is approximately 401 MB. The dataset is split into three subfolders named after the corresponding scenario names. Each subfolder contains two .xlsx files named "curve" and "electricity quantity" respectively. The "curve" file contains multiple worksheets that provide 8760-hour load forecast results for the corresponding province or the entire country, with the unit of megawatt (MW). The "electricity quantity" file includes the electricity consumption forecast results of each province and the whole country, with the unit of 100 million kilowatt-hours. Additionally, the dataset contains modeling and simulation of supply-demand interaction modes, as well as modeling and aggregation methods for load flexibility, which are stored in .py code files with a total data volume of approximately 50 MB.

搜集汇总

背景与挑战

背景概述

该数据集提供了2025年至2060年全国电力需求的预测数据，涵盖传统负荷、数据中心、5G、电动汽车和电制氢等多种负荷类型，并基于不同负荷场景以5年为间隔生成各省份及全国的小时级预测结果。数据以Excel文件形式存储，包括负荷曲线和用电量预测，同时附带了供需互动与负荷灵活性建模的Python代码文件，总容量约451MB。