abodh / Electricity-cost-forecasting-using-machine-learning-and-deep-learning-models

Comparative study of ANN, CNN, LSTM, and ARIMA for time-series forecasting

Comparison of Machine Learning and Deep Learning Tools for Residential Electricity Cost Forecasting

Each of the files access training data from the file 'price.csv'. The data has already been normalized using minmax scalar so you do not need to normalize it.

Result

Dependencies

Please make sure that you install and import the following packages

1. numpy
2. matplotlib
3. pandas
4. torch (you need cudatoolkit if you are running it on GPUs)
5. tensorflow
6. pdmarima

Authors

This work is completed as a class project for the course CPT 575 Data Science by the following people:

1. Abodh Poudyal
2. Habib Wajid
3. Saugat Ghimire