Electrical Energy Price dataset - IEX data

Electrical energy price dataset is developed by collecting the hourly price data from during the period between 01-01-2021 and 31-08-2023. During this period
have total (365+365+243=973) days. Each day have 24 hours, and collected hourly price data, so total 23352 hourly electrical energy price samples are collected from IEX. Reconstructed whole dataset in such a way that electrical energy price at particular hour of the day is able to predict based on last two hours (L(T-1),L(T-2)) and last two days load data (L(T-24),L(T-48)), last two hours and last two days electricity price data (P(T-1), P(T-2), P(T-24), P(T-48)), season and day status (Day) same as active power load dataset. Hence the developed load dataset has total 10 input features i.e. L(T-1),L(T-2), L(T-24),L(T-48), P(T-1), P(T-2), P(T-24), P(T-48), Season and Day. Whereas output variable or predicted variable i.e., electrical energy price is only one P(T). This whole dataset has total 23,304 sample and 11 features (10 input features and 1 output feature)

本电力价格数据集采集了2021年1月1日至2023年8月31日期间的每小时电价数据。该时段总计覆盖(365+365+243=973)天，每日包含24小时，因此共采集得到23352条每小时电力价格样本，数据来源为IEX。本数据集以实现当日特定时刻电力价格预测为目标，构建逻辑如下：基于前两小时负荷数据（L(T-1)、L(T-2)）、前两日负荷数据（L(T-24)、L(T-48)）、前两小时电价数据（P(T-1)、P(T-2)）、前两日电价数据（P(T-24)、P(T-48)），以及与有功负荷数据集（active power load dataset）一致的季节与日期状态（Day）。本数据集共包含10个输入特征，即L(T-1)、L(T-2)、L(T-24)、L(T-48)、P(T-1)、P(T-2)、P(T-24)、P(T-48)、季节及日期状态。而输出变量（即预测目标）为单一的实时电价P(T)。最终完整数据集共计23304条样本，包含11个特征（10个输入特征与1个输出特征）。