Can I read CAJMTCS 865 Ahmed EnergyConsumptionPrediction on EtoBox?

CAJMTCS 865 Ahmed EnergyConsumptionPrediction by praneel.majumdar.ug23 is a document available to read on EtoBox.

What is CAJMTCS 865 Ahmed EnergyConsumptionPrediction about?

This study evaluates machine learning (ML) and deep learning (DL) models for predicting energy consumption in smart homes, addressing gaps in existing literature regarding predictive performance and computational efficiency. It benchmarks various classical and hybrid models using two datasets, REFIT and UK-DALE, and finds that DL models, particularly a CNN-LSTM hybrid, outperform classical approaches in accuracy and generalizability. The research emphasizes the importance of accurate energy forecasting for

Author

praneel.majumdar.ug23

Language

EN