Holdings: Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector

Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector

Residential uses a significant amount of energy; hence, encouraging sustainability and lessening environmental effects requires minimizing energy consumption in this sector. This study focuses on applying and evaluating evolutionary algorithms combined with conventional neural networks to predict bu...

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Bibliographic Details
Main Authors:	Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.
Other Authors:	57770281700
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Biomimetics Energy utilization Forecasting Housing Mean square error Sustainable development Building energy consumption Energy Energy-consumption Nature inspired optimization Neural-networks Optimisations Optimization algorithms Optimizers Performance Residential sectors artificial neural network energy management spatiotemporal analysis sustainability training Evolutionary algorithms
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector

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