Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption

Accurate prediction of household electrical power usage is vital for efficient distribution, cost savings, and sustainability. Traditional models often struggle with complex, shortterm, multi-step time series forecasting. This study proposes a hybrid approach that combines a Long Short-Term Memory S...

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Bibliographic Details

Main Authors:	Al Mamun, Md Habib, Zuriani, Mustaffa, Junaida, Sulaiman, Mohd Herwan, Sulaiman
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2026
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/47465/1/EMAPlus-optimized%20adaptive%20convergence%20prescribed%20performance%20control.pdf https://umpir.ump.edu.my/id/eprint/47465/ https://doi.org/10.1109/ICSECS65227.2025.11279218
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