A Comparative Evaluation of AI Models for Electricity Load Forecasting in Smart Homes
Three machine learning models, standalone XGBoost, Long Short-Term Memory (LSTM), and a hybrid model combining LSTM and XGBoost were systematically compared to two naive models: persistence and seasonal benchmark models to illustrate the need for selecting the most appropriate model based on data to accurately predict...