Name		Name	Last commit message	Last commit date
parent directory ..
ARIMA.ipynb		ARIMA.ipynb
EDA.ipynb		EDA.ipynb
FFNN.ipynb		FFNN.ipynb
GRU.ipynb		GRU.ipynb
HW.ipynb		HW.ipynb
LSTM-eda.ipynb		LSTM-eda.ipynb
LSTM-v2.ipynb		LSTM-v2.ipynb
LSTM-v3.ipynb		LSTM-v3.ipynb
LSTM.ipynb		LSTM.ipynb
RNN.ipynb		RNN.ipynb
SES.ipynb		SES.ipynb
SMA.ipynb		SMA.ipynb
WMA.ipynb		WMA.ipynb
aws.py		aws.py
aws_arima.py		aws_arima.py
aws_rnn.py		aws_rnn.py
aws_smoothing.py		aws_smoothing.py
delhi.ipynb		delhi.ipynb
load_scrap.py		load_scrap.py
log		log
pdq_search.py		pdq_search.py
readme.md		readme.md
requirements.txt		requirements.txt
test.ipynb		test.ipynb
test.py		test.py
utils.py		utils.py
whether_scrap.py		whether_scrap.py

readme.md

Models

Models implemented during the course of the project:

Feed forward Neural Network FFNN.ipynb
Simple Moving Average SMA.ipynb
Weighted Moving Average WMA.ipynb
Simple Exponential Smoothing SES.ipynb
Holts Winters SW.ipynb
Autoregressive Integrated Moving Average ARIMA.ipynb
Recurrent Neural Networks RNN.ipynb
Long Short Term Memory cells LSTM.ipynb
Gated Recurrent Unit cells GRU.ipynb

Utility scripts

aws_arima.py fits ARIMA model on last one month's data and forecasts load for each day
aws_rnn.py fits RNN, LSTM, GRU on last 2 month's data and forecasts load for each day
aws_smoothing.py fits SES, SMA, WMA on last one month's data and forecasts load for each day
aws.py a scheduler to run all above three scripts everyday 00:30 IST
pdq_search.py for grid search of hyperparameters of ARIMA model on last one month's data
load_scrap.py to scrap load from SLDC's website
wheather_scrap.py to scrap wheather data from wunderground website