A chronological overview of the advanced control strategies for heating, ventilation, air-
conditioning, and refrigeration (HVAC&R) is presented in this article. The overview focuses …

This paper proposes a formulation of the global energy management problem of dwellings,
which consists in a dynamic predictive control system able to generate optimized controls …

Advances in technology infrastructure such as communications, processing power, and data
storage over the past several years have created new opportunities for the application of …

The energy efficiency of a heating, ventilating and air conditioning (HVAC) system optimized
using a radial basis function neural network (RBFNN) combined with the epsilon constraint …

In this paper, a multiple model predictive control (MMPC) strategy based on Takagi–Sugeno
(T–S) fuzzy models for temperature control of air-handling unit (AHU) in heating, ventilating …

Evaluating a building's performance usually requires a high number of sensors especially if
individual rooms are analyzed. This paper introduces a simple and scalable model-based …

As the backbone of urban public transportation, subways are also major consumers of
energy. More than 30% of the total energy is used to operate the heating, ventilating and air …

Energy efficiency in building heating, ventilating and air conditioning (HVAC) equipment
requires the development of accurate models for testing HVAC control strategies and …

Energy consumption by Heating Ventilation and Air Conditioning (HVAC) systems is usually
heaviest when electricity prices are at their highest. The method of Economic Model …

Design of a nonlinear control system for a Variable Air Volume Air Conditioning (VAVAC)
plant through feedback linearization is presented in this article. VAVAC systems attempt to …