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

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.

File Description:

• Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and other house data
• Houses_Input_JSONs - Zip containing the input files, from each house, for the proposed system