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Indoor Air Quality Analysis Using Recurrent Neural Networks: A Case Study of Environmental Variables

2023; Multidisciplinary Digital Publishing Institute; Volume: 11; Issue: 24 Linguagem: Inglês

10.3390/math11244872

2227-7390

Carlos A. Perez, Miguel Martínez, José Guerra Carmenate, Humberto Michinel, Eduardo Balvís, Fernando Giménez Palomares, Pedro Fernández de Córdoba,

Urban Heat Island Mitigation

In the pursuit of energy efficiency and reduced environmental impact, adequate ventilation in enclosed spaces is essential. This study presents a hybrid neural network model designed for monitoring and prediction of environmental variables. The system comprises two phases: An IoT hardware–software platform for data acquisition and decision-making and a hybrid model combining short-term memory and convolutional recurrent structures. The results are promising and hold potential for integration into parallel processing AI architectures.