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...

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Vydané v:	2025 3rd International Conference on Electronics, Energy and Measurement (IC2EM) s. 1 - 5
Hlavní autori:	Sarah, Younsi, Rabea, Guedouani, Amirouche, Nait Seghir
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.05.2025
Predmet:	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
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