Hierarchical Demand Forecasting Benchmark for the Distribution Grid

本数据集名为‘Hierarchical Demand Forecasting Benchmark for the Distribution Grid’，由瑞士未来电力基础设施研究中心创建，旨在为评估需求侧管理应用中的预测算法提供标准基准。数据集包含来自瑞士城市配电网的24个节点和7个合成聚合系列，以及气象数据，数据完整且多样，涵盖平均有功功率、电压幅值、电压频率等。创建过程中，数据经过筛选和插值处理，确保数据质量。该数据集特别适用于配电网的预测基准，尤其是对实时市场操作目标的10分钟时间分辨率数据。This dataset is named 'Hierarchical Demand Forecasting Benchmark for the Distribution Grid', and was developed by the Swiss Research Center for Future Power Infrastructure. It is designed to serve as a standard benchmark for evaluating forecasting algorithms in demand-side management applications. The dataset includes 24 nodes from urban distribution grids in Switzerland, 7 synthetic aggregated time series, and meteorological data. It is comprehensive and diverse, covering metrics such as average active power, voltage magnitude, voltage frequency, and more. During its development, all data underwent screening and interpolation processing to ensure data quality. This dataset is particularly well-suited for distribution grid forecasting benchmarks, especially for 10-minute temporal resolution data targeted at real-time market operation scenarios.

搜集汇总

背景与挑战

背景概述

该数据集由瑞士未来电力基础设施研究中心创建，旨在为需求侧管理应用的预测算法提供标准基准，包含瑞士城市配电网的24个节点、7个合成聚合系列及气象数据，涵盖平均有功功率、电压幅值等指标，经过筛选和插值处理确保数据质量。其特点在于专为配电网预测基准设计，特别适用于实时市场操作，提供10分钟时间分辨率的高精度数据，支持多样化的预测分析。