Published September 6, 2022 | Version 0.1
Dataset Open

Joint Optimization of Production and Maintenance for Cost-effective Manufacturing and Demand Response Participation Dataset - Energy Cost Optimization with Energy Selling

Authors/Creators

  • 1. GECAD, Polythecnic of Porto

Contributors

  • 1. GECAD, Polythecnic of Porto

Description

Using the previous dataset at <https://zenodo.org/record/4106746> an energy cost optimization considering the presence of an energy buyer is proposed to validate the scheduler’s ability to maximize profits while also minimizing energy costs. The scenario considers an added sales value corresponding to 50% of the buying. For this scenario, the genetic algorithm was executed for 2 hours, with 1 and 0 for the optimization weights total cost and machine occupancy deviation, respectively.

 

File Description:

  • Input_JSON_Energy_Cost_Energy_Selling_Optimization - JSON input data for the energy cost optimization with energy selling
  • Output_JSON_Energy_Cost_Energy_Selling_Optimization - JSON output data for the energy cost optimization with energy selling
  • Output_Statistics_Energy_Cost_Energy_Selling_Optimization - Excel output energy cost optimization with energy selling statistics

Files

Input_JSON_Energy_Cost_Energy_Selling_Optimization.json

Files (2.5 MB)