Show simple item record

dc.contributorAngulo Bahón, Cecilio
dc.contributor.authorPalat Pañella, Joan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-01-31T11:14:52Z
dc.date.available2019-01-31T11:14:52Z
dc.date.issued2018-06-21
dc.identifier.urihttp://hdl.handle.net/2117/128008
dc.description.abstractThis 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.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshAir conditioning
dc.subject.lcshVentilation
dc.titleMachine learning for energy consumption optimization in HVAC systems
dc.typeMaster thesis
dc.subject.lemacAire condicionat
dc.subject.lemacVentilació
dc.identifier.slugETSEIB-240.134567
dc.rights.accessOpen Access
dc.date.updated2018-07-18T05:25:44Z
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain