算力中心多能协同功率曲线实时数据集

该数据集聚焦算力基础设施用能结构与源网荷储动态平衡监测。包含日期、时间、总负荷、光伏发电功率、市电功率、储能充放电功率6个核心字段。数据可精准刻画算力负载波动、可再生能源出力时变特性、储能系统双向调节及市电补充供电的分钟级协同过程，量化评估绿电实时消纳率、储能削峰填谷贡献度及需量电费优化空间，支持负荷预测、功率平衡校验、经济调度策略优化及绿色用能认证，具有高时效性、高颗粒度、强因果关联性等特点，适用于算力中心微电网能量管理、虚拟电厂聚合调控及绿色电力溯源认证。This dataset focuses on the energy consumption structure of computing infrastructure and dynamic balance monitoring of source-grid-load-storage systems. It consists of 6 core fields: date, time, total load, photovoltaic generation power, municipal grid power, and energy storage charge-discharge power. The data can accurately depict minute-level collaborative processes including computing load fluctuations, time-varying output characteristics of renewable energy, two-way regulation of energy storage systems, and municipal grid supplementary power supply. It enables quantitative evaluation of real-time renewable energy accommodation rate, the contribution of energy storage to peak shaving and valley filling, and optimization space of demand charges. Additionally, it supports applications such as load forecasting, power balance verification, economic dispatch strategy optimization, and green energy utilization certification. Featuring high timeliness, high granularity, and strong causal relevance, this dataset is applicable to microgrid energy management for computing centers, aggregated regulation of virtual power plants, and green electricity traceability certification.

搜集汇总

背景与挑战

背景概述

该数据集聚焦算力基础设施的用能结构与源网荷储动态平衡监测，包含日期、时间、总负荷、光伏发电功率、市电功率、储能充放电功率6个核心字段，以分钟级精度刻画算力负载、可再生能源出力、储能调节和市电补充的协同过程。它具有高时效性、高颗粒度和强因果关联性，适用于负荷预测、功率平衡校验、经济调度优化及绿色用能认证，主要服务于算力中心微电网管理、虚拟电厂调控和绿电溯源等场景。