基于注意机制和滚动更新的短期负荷预测双向长短时记忆方法数据集是“Bi-directional Long Short-term Memory Method based on Attention Mechanism and Rolling Update for Short-Term Load Forecasting”SCI论文关键数据集，数据内容为澳大利亚维多利亚州为案例的负荷预测数据，采集方案为参考
ISO New England (ISO-NE) electric energy load data for Rhode Island between January 1 2020 and December 31 2022. The data is sampled hourly, so in our full data set we have 26304
Intermediate dataset used to generate “weekday_normalised_load_profiles.csv”. Contains representative load profiles for weekdays in Germany, Italy, Spain and France at an hourly resolution, under the
