分布式信息能源系统的全域智能进化仿真实验平台及工程示范应用IES133节点信息能源系统数据集
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基于人工智能算法,依照原始样本数据生成的电/气/冷/热负荷功率数据。IES133节点信息能源系统数据包含工业、公共、居民节点等负荷侧以及风机、光伏、冷热电三联供、热源站等源侧数据。数据集也包含了IES133节点信息能源系统的科学技术报告、仿真实验平台界面图片、第三方测试报告等验证任务书项目指标15.1“搭建满足大于20000能源节点的电/气/冷/热仿真实验平台”
Power, gas, cooling, and heating load power data generated via artificial intelligence algorithms based on original sample data. The IES133-node integrated energy system dataset covers load-side nodes including industrial, public, and residential ones, as well as source-side data such as wind turbines, photovoltaic systems, combined cooling heating and power (CCHP) units, and heat source stations. The dataset also includes scientific and technical reports of the IES133-node integrated energy system, interface images of its simulation experimental platform, third-party test reports, and other supporting documents for project indicator 15.1 specified in the verification mission statement, which requires "building an electricity, gas, cooling, and heating simulation experimental platform that supports more than 20,000 energy nodes".




