This data was collected from the Australian Energy Market operator 
Each example of the dataset refers to a period of 30 minutes, i.e. there are 48 instances for each time period of one day
It is for 2018 for Queensland


To do- 
1. add a script get data which fetches the latest month data for prediction and adds the previous month data to the training data and update the parameters.
2. Add zooming of plots
3. Make a script of ARIMA predictions
4. utils.py script into the notebooks