Machine learning for energy consumption optimization in HVAC systems
This project aims to optimise energy consumption in Heating, Ventilation and Air Conditioning systems modifying their working schedules. Taking advantage of a machine learning algorithm I have developed (based on Python), schedules can be daily updated depending on multiple variables and guaranteein...
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| Tipo de documento: | dissertação |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/128008 |
| Acesso em linha: | https://hdl.handle.net/2117/128008 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Air conditioning Ventilation Aire condicionat Ventilació Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Resumo: | This project aims to optimise energy consumption in Heating, Ventilation and Air Conditioning systems modifying their working schedules. Taking advantage of a machine learning algorithm I have developed (based on Python), schedules can be daily updated depending on multiple variables and guaranteeing comfort. To facilitate the interaction with the algorithm, I have also created a simple website to introduce the data required and to display the results. The project has been developed in Montrol Open Solutions, SL. |
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