Sensor-based indoor air temperature prediction using deep ensemble machine learning: An Australian urban environment case study

Author:

Yu Wenhua,Nakisa Bahareh,Ali Emran,Loke Seng W.,Stevanovic Svetlana,Guo Yuming

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference39 articles.

1. Prediction of indoor air temperature using weather data and simple building descriptors;Aguilera;IJERPH,2019

2. Introduction to Machine Learning;Alpaydin,2020

3. Smart building: use of the artificial neural network approach for indoor temperature forecasting;Attoue;Energies,2018

4. Climate change and health in the urban environment: adaptation opportunities in australian cities;Bambrick;APJPH,2011

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