Neural networks based predictive control for thermal comfort and energy savings in public buildings
The paper addresses the problem of controlling a Heating Ventilation and Air Conditioning (HVAC) system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2145 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2145 |