ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT actuals are provided for 2017 and 2018 and forecasts for 2018, and for the remaining ISOs actuals are provided for 2018 and 2019 and forecasts for 2019.There datasets were produced by NREL as part of the ARPA-E PERFORM project, an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. For more information on the datasets and methods used to generate them see https://github.com/PERFORM-Forecasts/documentation.

时间同步的负荷、风能和太阳能数据集，包括实际值和概率性预测数据，分辨率为5分钟，涵盖了ERCOT、MISO、NYISO和SPP。提供了现有站点以及基于2021年接入队列项目规划站点的前瞻性风能和太阳能特征。对于ERCOT，提供了2017年和2018年的实际数据以及2018年的预测数据；对于其他ISO，提供了2018年和2019年的实际数据以及2019年的预测数据。该数据集由NREL生产，作为ARPA-E PERFORM项目的一部分，该项目由ARPA-E资助，旨在利用时间同步的电力和负荷，寻求开发创新的管理系统，以表征每个资产的相对交付风险，并平衡电网中所有资产的总体风险。关于数据集及其生成方法的信息，请参阅https://github.com/PERFORM-Forecasts/documentation。

搜集汇总

背景与挑战

背景概述

该数据集提供了ERCOT、MISO、NYISO和SPP等区域的时间同步负荷、风能和太阳能数据，包括5分钟分辨率的实际和概率预测数据，涵盖现有和计划站点。这些数据由ARPA-E PERFORM项目生成，旨在支持电网资产风险管理和平衡。