Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data2

The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles.<br> <br> File Description: Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and houses' data Houses_Input_Output_JSONs_and_Statistics - Zip containing the input and output files from the proposed system, as well as their corresponding schedule statistics本数据集的案例研究采用真实家庭用电数据，覆盖连续5天每日0时至23时59分的完整时段。本数据集针对所有负荷的执行时长与能耗数据，均以15分钟为时间粒度。本次案例研究共纳入20户独立家庭，每户最多可配置5台不同类型的可移位负荷电器，每台电器可执行3个运行周期。 文件说明：Case_Studies_Data-BAU_and_Load_Shifting：Excel文件，包含电器能耗曲线、负荷执行偏好、日常（Business As Usual, BAU）用电能耗及家庭用电数据；Houses_Input_Output_JSONs_and_Statistics：Zip压缩包，包含所提出系统的输入输出文件及其对应的调度统计数据