A machine learning model to predict the electrical consumption of a city, Homestead, U.S
This project implements an LSTM based deep learning model using tf keras for prediction of hourly electrical consumption within a region (city/state) using past electrical consumption data and weather data.
Technologies used: Google colab, Python, Json, tf keras
APIs used: wwo-hist, api.eia.gov
