Modeling techniques used in building HVAC control systems: A review

By Z. Afroz, G. Shafiullah, T. Urmee, G. Higgins. 2017

363 citations recorded by the source corpus.

Subfields: Building and Construction, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/40006ec1a32cb034258b0a80f28412d4e096bc47

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Lynn H. Kaack
2. Felix Creutzig

In Mechanical Engineering

1. Lynn H. Kaack
2. Yoshua Bengio

Citations in the corpus

• Tackling Climate Change with Machine Learning (2019, methodology): “aditionally been performed using detailed physical models of the system involved; however, ML approaches such as deep belief networks can potentially increase accuracy with less computational expense [285, 286] (see also x4.3). For control, Kazmi et al. [287] used deep reinforcement learning to achi”