来自巴拉圭国家互联系统和气象数据集的电力需求
Félix Morales-Mareco1, Matías Verdún1, Diego H Stalder1
1Facultad de Ingeniería, Universidad Nacional de Asunción, San Lorenzo 111421, Paraguay.
Data in brief
|July 14, 2025
概括
这项研究将巴拉圭国家互联系统 (SIN) 的每小时电力需求数据与气象记录相结合. 综合数据集能够对能源消耗模式进行详细分析,并支持改进能源管理.
科学领域:
- 能源系统分析 能源系统分析
- 气象学 天气学
- 数据科学数据科学数据科学
背景情况:
- 了解电力需求驱动因素对于电网稳定至关重要.
- 巴拉圭国家互联系统 (SIN) 需要可靠的数据来实现运营效率.
- 长期的气象数据对于预测能源消耗变化至关重要.
研究的目的:
- 提出一个综合数据集,整合巴拉圭每小时的电力需求和气象数据.
- 促进对电力消费趋势和模式的详细分析.
- 支持能源预测模型的开发,优化能源管理.
主要方法:
- 从巴拉圭国家电力管理局 (ANDE) 收集的每小时电力需求数据.
- 从全球数据同化系统 (GDAS) 每隔三小时获得的气象数据 (温度,湿度).
- 从2008年到2022年的综合数据集用于长期分析.
主要成果:
- 已经编制了巴拉圭 (2008-2022) 每小时电力需求和气象变量的综合数据集.
- 该数据集允许详细检查天气条件和电力消耗之间的关系.
- 高频数据允许进行深入的趋势和模式分析.
结论:
- 综合数据集是巴拉圭研究人员和电网运营商的宝贵资源.
- 它支持对电力需求的增强预测,这对电网稳定至关重要.
- 数据可以为能源分配优化,基础设施规划和效率改进提供信息.
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