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.

本数据集源自中国北方某区域的综合能源系统（integrated energy system），涵盖多类核心能源数据，包括风电（wind power）、光伏（photovoltaic power）、电力负荷、热负荷及冷负荷。该数据集的时间分辨率为1小时，所选单日的时间跨度为24小时。研究共选取5个典型日期，覆盖不同季节与气象条件，以精准捕捉能源生产与消费模式的动态演变特征。数据集包含风电与光伏出力详情、电力负荷波动数据，以及热负荷与冷负荷的需求变化信息。本数据集旨在为综合能源系统优化调度、可再生能源（renewable energy sources）发电预测、负荷需求管理及智能能源调度提供核心支撑。此外，该数据集可为能源政策制定与长期能源规划提供宝贵参考，助力深入理解真实场景中可再生能源与需求侧管理（demand-side management）间的交互关系。

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。