Moon, J.W., Jung, S.K., Kim, Y. and Han, S.H. (2011) Comparative Study of Artificial Intelligence Based Building Thermal Control Methods—Application of Fuzzy, Adaptive Neuro-Fuzzy Inference System, and Artificial Neural Network. Applied Thermal Engineering, 31, 2422-2429.
http://dx.doi.org/10.1016/j.applthermaleng.2011.04.006

has been cited by the following article:

• TITLE: A Stable Energy Saving Adaptive Control Scheme for Building Heating and Cooling Systems

  AUTHORS: Sumera I. Chaudhry, Manohar Das

  KEYWORDS: Building HVAC Control, Adaptive Control, Energy Saving Control

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.2 No.5, May 22, 2014

  ABSTRACT: This paper presents a stable, nonlinear, adaptive control scheme for building heating and cooling systems. The proposed controller utilizes the principle of adaptive one step ahead control and aims at reducing the energy consumed for heating or cooling a building. The design steps are discussed in details and a proof of global stability is also provided. Also, the performance of the proposed controller is demonstrated on a simulated building thermal model.