URISE-solarforecasting

Getting Started

In order to run our model you will need tensorflow version 2.1.x (we used 2.1.0.) which can only be installed older versions of Python(we used python 3.7)

1. Installing TensorFlow

   1. To Begin you will need to download Python 3.7 from https://www.python.org/downloads/release/python-370/ if it is not already installed

   2. Then in a terminal you will need to install tensorflow 2.1.0 using pip install

   pip install tensorflow==2.1.0
   

   Ensure that you are installing tensorflow with 3.7's version of pip. To check your version of pip you can type

   pip --version
   

2. Download Data

   1. Our model uses data from Pacan Street Dataport so you will need access https://dataport.pecanstreet.org/
   2. Download '15minute_data_austin.csv' from https://dataport.pecanstreet.org/academic under Austin 15-min
   3. Download 'metadata.csv' from https://dataport.pecanstreet.org/academic under Metadata Report
   4. Download 'weather.csv' from https://jupyterhub.pecanstreet.org/hub/login within ev_and_weather.zip

3. Run Model

   1. Run gui.py
   2. Select which devices you wish to disaggregate
   3. Click Create Model
   4. TODO

How the model works(If you are curious)

What is a Recurrent Neural Network

Diagram of Model

Input Layers

Reshape

LSTM

Dense Layers

Output Layers