Gaining insights into dwelling characteristics using machine learning for policy making on nearly zero-energy buildings with the use of smart meter and weather data

Gaining insights into dwelling characteristics using machine learning for policy making on nearly zero-energy buildings with the use of smart meter and weather data

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type o...

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Bibliographic Details
Main Authors: Teo Čurčić, Rajeev R. Kalloe, Merel A. Kreszner, Olivier van Luijk, Santiago Puertas Puchol, Emilio Caba Batuecas, Tadeo B. Salcedo Rahola
Format: Article
Language:English
Published: SDEWES Centre 2022-03-01
Series:Journal of Sustainable Development of Energy, Water and Environment Systems
Subjects:
smart meter
net-zero energy building
supervised machine learning
classification
lstm
Online Access: http://www.sdewes.org/jsdewes/pid9.0388

Internet

http://www.sdewes.org/jsdewes/pid9.0388

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