Predicting the
power consumption

Project description:

Using the environmental characteristics and historical data of power consumption on the substations we have created the stacked machine learning model, which predicts a day ahead load on power substations. We have designed a dedicated model for each substation and provided ready to use the implementation of a forecasting system.

Technologies:

• Prophet, Decision Trees, LSTM, PyTorch, scikit-learn.