CAISO MEF/AEF 2019-2020

This data repository is accompanied by the manuscript titled "A data-driven framework for quantifying consumption-based monthly and hourly marginal emissions factors" submitted to the Journal of Cleaner Production. The dataset covers the regression results for the average emissions factors (AEF) and marginal emissions factors (MEF) for the California ISO grid for the years 2019 and 2020. MEFs and AEFs are reported for different regressed demand levels, as well as at month-hour levels independently for each year. Statistical values such as number of datapoints, coefficients of determination (R squared), and P values are reported as well. For methodology details and applications, please refer to the manuscript.本数据集配套了一篇题为《面向量化基于消费的月度与小时级边际排放因子的数据驱动框架》的手稿，该手稿已提交至《清洁生产杂志》（Journal of Cleaner Production）。本数据集涵盖2019年与2020年加州独立系统运营商（California ISO）电网的平均排放因子（average emissions factors, AEF）与边际排放因子（marginal emissions factors, MEF）的回归结果。数据集针对不同回归需求水平报告了上述两类排放因子，并按年度分别以月度-小时粒度独立统计相关结果。此外，数据集还提供了数据点数量、决定系数（R²）与P值等各类统计指标。如需了解方法细节与应用场景，请参阅该手稿。

搜集汇总

背景与挑战

背景概述

该数据集提供了加州ISO电网2019年和2020年的平均排放因子（AEF）和边际排放因子（MEF）数据，按月份、小时和需求水平进行细分，并包含回归统计指标如R平方和P值。它支持能源排放量化研究，适用于分析电网碳排放动态和可再生能源影响。