xpertsystems/enr001-sample

ENR001是一个基于IEEE-118总线标准校准的合成电力系统操作数据集（样本预览），由XpertSystems.ai的能源与气候垂直部门提供。该数据集包含六个表格：总线遥测数据、输电线路数据、发电调度数据、频率稳定性数据、N-1/N-2应急事件数据以及天气和可再生能源数据，覆盖了电力系统操作的完整堆栈。数据以5分钟SCADA分辨率生成，时间戳从2024年1月1日开始。数据集针对行业标准（如IEEE、NERC、EIA、NREL、FERC、EPA）进行校准，确保结构保真度。样本预览包含3天、20个节点的电网切片（约17,280行总线遥测数据及五个配套表格），而完整产品则覆盖年度、IEEE-118规模的1,000节点电网和5,000个应急场景。数据可用于电压稳定性、拥堵预测、发电调度、LMP实时预测、频率异常检测、N-1应急筛查、可再生能源消纳和碳感知调度等机器学习应用。数据集提供CSV和Parquet格式，并包含详细的模式定义和验证指标。

ENR001 is a synthetic power grid operations dataset (sample preview) calibrated against the IEEE-118 bus standard, provided by XpertSystems.ais Energy & Climate Vertical. It consists of six tables: bus telemetry, transmission lines, generation dispatch, frequency stability, contingency events, and weather/renewable data, covering the full bulk-power operations stack. The data is generated at a 5-minute SCADA resolution, with timestamps starting from 2024-01-01T00:00Z. The dataset is calibrated to industry standards (e.g., IEEE, NERC, EIA, NREL, FERC, EPA) for structural fidelity. The sample preview includes a 3-day, 20-node grid slice (approximately 17,280 bus telemetry rows plus five companion tables), while the full product covers an annual, IEEE-118-scale 1,000-node grid with 5,000 contingency scenarios. It is suitable for machine learning applications such as voltage stability, congestion forecasting, unit commitment, LMP nowcasting, frequency anomaly detection, N-1 contingency screening, renewable curtailment modeling, and carbon-aware dispatch. The dataset is available in both CSV and Parquet formats, with detailed schema definitions and validation metrics.