Harnessing Deep Learning for Enhanced Energy Consumption Forecasting in smart Home: A comparative Study of MLP and RNN Architectures

Each country is looking for effective ways of reducing energy consumption in residential sectors. The process needs close monitoring to comprehend energy usage trends. It is, therefore, important to predict energy consumption in households that will help in formulating efficient ways of optimization...

Full description

Bibliographic Details

Published in:	2025 3rd International Conference on Electronics, Energy and Measurement (IC2EM) pp. 1 - 5
Main Authors:	Sarah, Younsi, Rabea, Guedouani, Amirouche, Nait Seghir
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.05.2025
Subjects:	Accuracy Deep learning Energy consumption energy efficiency Forecasting Long short term memory management Multilayer perceptrons Optimization Predictive models Recurrent neural networks Smart home Smart homes
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!