Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models

• The novel analysis strategy developed to understand data normalization method. • The significant influence of data normalization on the predictive capabilities of various ANN models • More effective combinations of ANN models with specific data normalization strategies • Evaluating the correlation between each data normalization method on the energy consumption The study investigates the impact of data normalization on the prediction of electricity consumption in buildings using four multilayer Artificial Neural Networks (ANN) algorithms: Long Short-Term Memory Networks (LSTM), Levenberg-Marquardt Back-propagation (LMBP), Recurrent Neural Networks (RNN), and General Regression Neural Network (GRNN). Four…