This paper reviews applications of multi-objective optimization approaches for design,
control, and the combination of both design and control of a single element or a set of …

This paper presents an experimental implementation of a whole building model predictive
control (MPC) approach for a LEED gold certified academic building. The MPC is divided …

Because the building sector has become a huge energy consumer, providing useful
approaches can help tackle this important issue. Windows are an important component of a …

This paper investigates the influence of occupant lifestyle patterns on the energy
performance of the residential buildings with various building envelopes in different climate …

With the global increase in food demand, closed and controlled greenhouses are an
essential source for year-round crop production. Maintaining the optimum conditions inside …

Artificial intelligence (AI) controls are commonly used to save energy. However, excessive
diversity in technological development has resulted in the inability to provide consistent …

We propose Gnu-RL: a novel approach that enables real-world deployment of reinforcement
learning (RL) for building control and requires no prior information other than historical data …

Building energy simulation (BES) has been widely adopted for the investigation of building
environmental and energy performance for different design and retrofit alternatives. Data …

In addition to the application of fundamental principles that lead to a structured method for
zero carbon design of buildings, this considerably expanded second edition includes new …

Model predictive control (MPC) is a recent development that uses modelling and simulation
with forecast conditions to exploit building thermal mass in an effort to improve indoor …