MOGA design of temperature and relative humidity models for predictive thermal comfort
The use of artificial neural networks in various applications related with energy management in buildings has been increasing significantly over the recent years. One of these applications is predictive HVAC control, which aims to maintain thermal comfort while simultaneously minimizing the energy s...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2176 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2176 |