ARPA-E PERFORM datasets
收藏资源简介:
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.
本数据集涵盖针对ERCOT、MISO、NYISO及SPP四大独立系统运营商的时间对齐负荷、风电与光伏数据,包含实际运行数据集与概率预测数据集,时间分辨率为5分钟。风电与光伏出力曲线既覆盖现有场站,也包含基于截至2021年并网排队项目规划的待建场站数据。其中ERCOT的实际运行数据覆盖2017年与2018年,预测数据覆盖2018年;其余三家独立系统运营商的实际运行数据覆盖2018年与2019年,预测数据覆盖2019年。该数据集由美国国家可再生能源实验室(NREL)作为美国能源部高级研究计划局(ARPA-E)PERFORM项目的一部分开发。PERFORM项目是ARPA-E资助的研究计划,旨在依托时间对齐的电力与负荷数据,研发能够表征单资产相对交付风险、并平衡电网内全部资产集体风险的创新型电力管理系统。如需了解该数据集及生成方法的更多细节,请访问:https://github.com/PERFORM-Forecasts/documentation



