Trombe wall thermal performance: data mining techniques for indoor temperatures and heat flux forecasting

Building sector is responsible for the majority of energy consumption in the world, becoming priority tar- get in energy efficiency policies. The integration of bioclimatic solutions combined with energy use pre- diction models will allow to achieve more energy efficient and sustainable buildings. T...

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Bibliographic Details
Main Author: Briga-Sá, Ana (author)
Other Authors: Leitão, Dinis (author), Boaventura-Cunha, José (author), Martins, Francisco F. (author)
Format: article
Language:eng
Published: 2021
Subjects:
Artificial neural networks
Data mining
Heat flux
Multiple linear regression
Support vector machines
Temperatures
Thermal performance
Trombe wall
Science & Technology
Online Access:http://hdl.handle.net/1822/75400
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/75400

Internet

http://hdl.handle.net/1822/75400

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