EUI_Model

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.

Table of Contents

• Getting Started
• References
• Tools

Getting Started

Directory

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

Short Introduction

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.

References

• UBC Geospatial Opendata
• UBC Skyspark

Tools

• https://geojson.tools/