xpertsystems/enr002-sample

ENR002合成可再生能源发电数据集（样本预览）是一个单表宽模式可再生能源遥测数据集，涵盖太阳能光伏、陆上风电、海上风电以及混合（太阳能+风能+电池储能系统）电站，具有5分钟SCADA分辨率。每行数据在单一时间线上整合了天气、辐照度、发电功率、概率预测、电网接入点（PCC）的电网集成以及电池调度信息。数据集以行业标准为基准进行校准，包括IEC 61400-12（风力发电机组功率曲线）、IEC 61724（光伏系统性能监测）、NERC TOP-001-5 / BAL-003-2（电网电压/频率）以及NREL 2023 ATB（容量因数）。该样本预览包含10个站点×3天（2024-01-01至2024-01-04）的数据，以5分钟为间隔，约8,640行×81列。完整产品覆盖1,000个站点×8,760小时（约8,800万行），包含N-1电网压力、风暴情景和高可再生能源鸭形曲线调度。数据集文件格式为Parquet（首选）和CSV，81列分为八个区块：站点元数据、天气、太阳辐照度、太阳能发电、风速、风能发电、概率预测、电网（PCC）和电池储能系统（BESS）。数据集还提供了验证记分卡，显示10/10通过所有六个标准种子（42, 7, 123, 2024, 99, 1）的A+等级（100%）。建议用例包括太阳能辐照度到发电链的回归建模、风能功率曲线学习、概率预测评估、斜坡事件检测、混合调度机器学习等。局限性包括原始风速数据具有厚尾分布、容量因数为瞬时值而非年化值、斜坡率列在混合和风电站点被风能斜坡覆盖等。数据集与ENR-001（合成电网运营数据集）配套使用，可用于完整的电网加可再生能源机器学习工作流程。ENR002 — Synthetic Renewable Energy Generation Dataset (Sample Preview) is a single-table, wide-schema renewable energy telemetry dataset spanning solar PV, onshore wind, offshore wind, and hybrid (solar+wind+BESS) plants with 5-minute SCADA resolution. Each row joins weather, irradiance, power production, probabilistic forecast, grid integration at PCC, and battery dispatch on a single timeline. Calibrated benchmark-first against IEC 61400-12 (wind power curves), IEC 61724 (PV monitoring), NERC TOP-001-5 / BAL-003-2 (grid voltage/frequency), and NREL 2023 ATB (capacity factors). This is the sample preview — 10 sites × 3 days at 5-min cadence (~8,640 rows × 81 columns). The full product covers 1,000 sites × 8,760 hours (~88M rows) with N-1 grid stress, storm scenarios, and high-renewable duck-curve dispatch. File formats are Parquet (preferred) and CSV. The 81 columns are grouped into eight blocks: site metadata, weather, solar irradiance, solar power, wind speed, wind power, probabilistic forecast, grid (PCC), and BESS. A validation scorecard shows 10/10 PASS with Grade A+ (100%) across all six canonical seeds (42, 7, 123, 2024, 99, 1). Suggested use cases include solar irradiance → power chain regression, wind power curve learning, probabilistic forecasting evaluation, ramp event detection, hybrid dispatch ML, and more. Limitations include raw wind speed having fat upper tails, capacity factors being instantaneous, ramp rate column overwritten by wind ramp for hybrid/wind sites, and others. The dataset is paired with ENR-001 (Synthetic Power Grid Operations Dataset) for full grid-plus-renewables ML workflows.