Multi energy load and renewable energy scenario dataset

This dataset is sourced from an integrated energy system in a region of northern China, encompassing a wide range of energy data including wind power, photovoltaic power, electricity load, thermal load, and cooling load. The dataset features a time resolution of one hour, with a 24-hour timescale for each selected day. A total of five typical days have been chosen, representing different seasonal and weather conditions, to capture the variations in energy production and consumption patterns. The dataset includes detailed information on wind and photovoltaic generation, fluctuations in electricity load, and the demand variations for both thermal and cooling loads. This dataset is designed to provide essential support for optimizing the scheduling of integrated energy systems, forecasting renewable energy generation, managing load demand, and enabling intelligent energy dispatching. Additionally, it serves as a valuable resource for energy policy development and long-term energy planning, offering insights into the interactions between renewable energy sources and demand-side management in real-world scenarios.

搜集汇总

背景与挑战

背景概述

该数据集包含中国北方某区域综合能源系统的多能源负荷与可再生能源场景数据，涵盖风电、光伏、电负荷、热负荷和冷负荷，时间分辨率为1小时，选取了5个典型日以反映不同季节和天气条件下的能源生产与消费模式。数据集主要用于支持综合能源系统优化调度、可再生能源预测和负荷管理，为能源政策制定和长期规划提供基础数据。