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CACHE-EMS

Energy-Constrained Critical Load Aware Post-Disaster Home Energy Management (CACHE-EMS)

  1. Run the python file (Generating_random_Loads and Criticality) that will give the output parameters for loads, criticaltiy and labels.
  2. Copy it and input it to the main julia file
  3. use the my_data.csv file and run the main formulation for CACHE-EMS.
  4. This will give the output optimized values and plots.
  5. To generate/visualize the increasing trend of natural disasters, run the python file (Natural_disasters_trend file) to visualize the trend from last 50 years. The data as csv file is also attached for or can be accessed online. While using this data/source, a credit to the authors/organization is mendatory.

This work is part of the our research cited as:

A. Ali, T. M. Hansen, S. Liaquat, and T. Hussain, “Energy-constrained critical load aware post-disaster home energy management,” in Proceedings of the PowerTech, 2025.

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Energy-Constrained Critical Load Aware Post-Disaster Home Energy Management (CACHE-EMS ). An Energy Resilience Model on Building Level

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