Machine learning for energy consumption optimization in HVAC systems
Tutor / director / evaluatorAngulo Bahón, Cecilio
Document typeMaster thesis
Rights accessOpen Access
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.