Due to the fast advancement of communication and information technology, intelligent buildings have garnered great interest. These buildings can forecast weather, ambient …
In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community …
A model predictive control system with adaptive machine-learning-based building models for building automation and control applications is proposed. The system features an …
High share of energy consumption in buildings and subsequent increase in greenhouse gas emissions along with stricter legislations have motivated researchers to look for sustainable …
Y Liu, W Wang, N Ghadimi - Energy, 2017 - Elsevier
For optimal power system operation, electrical generation must follow electrical load demand. So, short term load forecast (STLF) has been proposed by researchers to tackle the …
Energy demand has been increasing worldwide and the building sector represents a large percentage of global energy consumption. Therefore, promoting energy efficiency in …
This work presents a literature review of control methods, with an emphasis on the theory and applications of model predictive control (MPC) for heating, ventilation, and air …
An overview of the recent results on economic model predictive control (EMPC) is presented and discussed addressing both closed-loop stability and performance for nonlinear systems …
X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the US Better or even optimal building energy control and operation strategies provide great …