/E_Consumtion

Data cleaning, visualisation and predicting the model with ANN on Energy consumtion data

Primary LanguageJupyter Notebook

E_Consumtion

  • Implementation a neural network-based prediction algorithm for accurately forecasting hourly energy consumption.
  • Performed data preprocessing and cleaning on 12 Time-Series datasets.
  • Conducted standard statistical analysis to describe and interpret the datasets.
  • Utilized data visualization functions in Python to make clear and concise visual representations of datasets.
  • Implemented Artificial Neural Netwok - regression based algorithm to train, predict, and compute prediction accuracy.
  • Applied mlpRegressor in Skicit-learn and correctly predicted energy consumption for 12 different regions with an overall prediction score > 0.9