Título
A Recommendation-based Proposal for Improving Energy Efficiency in Housing
Autor(es)
Palabras clave
Artificial Intelligence
Energy Efficiency
Machine Learning
Recommending System
Clasificación UNESCO
1203.04 Inteligencia Artificial
3322.01 Distribución de la Energía
Fecha de publicación
2020
Editor
Ediciones Universidad de Salamanca (España)
Citación
García Retuerta, D. (2020). A Recommendation-based Proposal for Improving Energy Efficiency in Housing. En Sara Rodríguez González, Fernando de la Prieta Pintado, José Alberto García Coria, Roberto Casado Vara (eds.) The role of artificial intelligence and distributed computing in IOT Applications, pp. 121-133
Serie / N.º
Aquilafuente;287
Resumen
[EN]75% of buildings in the EU are not designed according to
any energy efficiency code and around 45%of the world’s energy is used in
the residential sector. This is why one of Europe’s biggest energy challenges
is to include consumers at the heart of the energy system. The aim of this
work is to develop a solution to a problem of such magnitude: to create a
system of personalised recommendations to each consumer that contributes
to improving the energy efficiency of their home.
The data will be obtained from sensorized homes in Salamanca. Some
examples of possible recommendations are reducing the temperature of the
thermostat, change the time at which the house is ventilated and raise the
blinds at a certain time. The system developed is capable of providing these
recommendations correctly an-d efficiently.
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