Simulation study: demand response with heat pumps and COHDA.
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cohda
paper
.gitignore
Enviro.mat
LICENSE
README.md
UnresponsiveLoad.mat
Wind.mat
WindGen.py
analyze.py
configuration.py
hero-install.cmd
hero.sge
main.py
matplotlibrc
output-1min-crop.pdf
output-1min-python.pdf
output-1min.pdf
output-python.pdf
output.pdf
output_1000.pdf
output_1000_large.pdf
output_100_residual.pdf
output_1500.pdf
output_1500.png
output_1500.svg
parallel.cmd
parallel.py
stats.py
z7165526.txt

README.md

demand-response-cohda

This project is a follow-up work of my PhD thesis in collaboration with the Institute for Integrated Energy Systems (IESVic) at the University of Victoria, BC, Canada. By combining my COHDA heuristic with the heat pump simulation from IESVic, a self-organizing demand response approach was developed. The results have been presented at the 2015 ICT4S conference in Copenhagen, Denmark. The paper is included here.