Short-term load forecasting data with hierarchical advanced metering infrastructure and weather features
收藏IEEE2019-06-04 更新2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/short-term-load-forecasting-data-hierarchical-advanced-metering-infrastructure-and-weather
下载链接
链接失效反馈官方服务：
资源简介：
Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.
提供机构：
University of Texas at Dallas
创建时间：
2019-06-04
