This is a research project that aims to demonstrate a pipeline for optimizing energy storage in a distribution system with intermittent power sources. The optimization process references a dynamic model introduced here. For more information on the research, visit UBC Smart City.
README.md
LICENSE.md
.gitignore
requirements.txt
data_aquisition/
main.py
preperation.py
test.py
ann/
ANN Model - Building Facade Features.ipynb
Exploratory Data Analysis - Building Facade Features.ipynb
mts/
R-MURC-1.R
dataset/
ubcv_buildings/
ubcv_buildings.geojson
BuildingName1/
_BuildingName1_edited.csv
BuildingName1_Elec_Energy.csv
BuildingName1_Elec_Power.csv
BuildingName1_Thrm_Energy.csv
BuildingName1_Thrm_Power.csv
BuildingName1_Wtr_Cns.csv
data_aquisition.py simplifies the data aquition process for UBC Skyspark.
ANN Model - Building Facade Features.ipynb & Exploratory Data Analysis - Building Facade Features.ipynb is the code for artificial neural network model.
R-MURC-1.R is the code for multivariate time series model.