Active power load dataset - IEX data

Active power load dataset is developed by collecting the hourly load 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 load data, so total 23352 hourly load samples are collected from IEX. Reconstructed whole dataset in such a way that load 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). 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 is only one L(T). This whole dataset has total 23,304 sample and 11 features (10 input features and 1 output feature). Load values are in MW and price is in INR per MWh.

有功负荷数据集（Active power load dataset）采集自2021年1月1日至2023年8月31日期间的逐时负荷数据。该时段共计（365+365+243=973）天，每日采集24条逐时负荷数据，因此从IEX共采集得到23352条逐时负荷样本。本数据集经重构后，可基于前两小时负荷数据（L(T-1)、L(T-2)）、前两日同期负荷数据（L(T-24)、L(T-48)）、前两小时及前两日电价数据（P(T-1)、P(T-2)、P(T-24)、P(T-48)）、季节与日期状态（Day），实现对当日特定时刻负荷值的预测。本次构建的有功负荷数据集共包含10项输入特征，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。而目标预测变量仅为1项，即L(T)。最终完整数据集共计23304条样本与11项特征（10项输入特征与1项输出特征）。负荷值单位为兆瓦（MW），电价单位为印度卢比每兆瓦时（INR/MWh）。

搜集汇总

背景与挑战

背景概述

该数据集包含2021年至2023年的每小时电力负荷和电价数据，共计23,304个样本，用于基于历史数据和季节、日期状态预测当前小时的负荷。