Intelligent buildings have drawn considerable attention due to rapid progress in
communication and information technologies. These buildings can utilize current and …

Heating, ventilation, and air-conditioning (HVAC) systems account for almost half of the
energy consumption in buildings. By benefiting from advancements in information and …

This paper reviews occupancy based model predictive control (MPC) for building indoor
climate control. Occupancy behavior in buildings is stochastic and complex in nature. With …

A pressing task for future energy systems is the design and operation of systems that
integrate large shares of renewable energy while improving overall system efficiency …

Smart home technologies have long been envisioned as a mainstay in future residential
buildings; however, residential smart home technologies have fallen short of expectations …

This paper analyzes the impact of using different types of occupancy prediction models on
the performance of occupancy-based heating, ventilation, and air conditioning (HVAC) …

This study analyzes the impact of employing different features on the performance of future
occupancy prediction models. The aim is to identify the most effective predictor variables for …

Demand-side energy management is becoming increasingly important owing to concerns
related to global warming and energy shortages. In particular, as the development of Internet …

This paper provides a comparative study of state-of-the-art means of predicting occupancy
for smart heating control applications. We focus on approaches that predict the occupancy …

This paper presents a rule-based (RB) heating, ventilation, and air-conditioning (HVAC)
control system using a multi-layer perceptron network, a deep learning algorithm, for …