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Predicting New York City Energy Demand Consumption using Auto-Arima and Prophet Time Series Analysis

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New York City Energy Consumption

NYC Energy Consumption Forecasting using Univariate Arima, Univariate FbProphet and Multivariate FbProphet

NYC_Energy_Demand


Notebook files:

  1. Auto Arima Univariate
  2. FbProphet Univariate
  3. FbProphet Multivariate

Steps for FBProphet installation:

  1. Create conda environment with python version 3.7
conda create -n fbprophet python=3.7
  1. Activate the environment
conda activate fbprophet
  1. Install C++ Compiler
numpyconda install libpython m2w64-toolchain -c msys2
  1. Install Dependencies
conda install numpy cython -c conda-forge
conda install matplotlib scipy pandas -c conda-forge
  1. Install pystan
conda install pystan -c conda-forge
  1. Install Ephem
conda install -c anaconda ephem
  1. Install fbprophet
conda install -c conda-forge fbprophet
  1. To avoid error while importing ipywigets and plotly
conda install -c conda-forge ipywidgets
conda install -c plotly plotly
  1. [Imp] Open Anaconda Navigator, under environments select fbprophet and install Jupyter Notebook inside fbprophet environment.

OR

conda install -c anaconda jupyter
conda install -c anaconda notebook