The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …

Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …

Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …

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 …

People spend more than 90% of their life time in buildings, which makes occupant behavior
one of the leading influences of energy consumption in buildings. Occupancy and occupant …

A review of the heating, ventilation and air-conditioning control problem for buildings is
presented with particular emphasis on its distinguishing features. Next, we not only examine …

Detailed occupancy information in buildings is useful to improve the performance of energy
management systems in order to enable energy consumption savings and maintain …

Buildings are responsible for a large portion of global energy consumption. Therefore, a
detailed investigation towards a more effective energy performance of buildings is needed …

In this paper, we propose a wireless sensor network based safe navigation algorithm for
micro flying robots in the industrial Internet of things (IIoT). A micro flying robot cannot be …

Buildings' occupancy is one of the important factors causing the energy performance and
sustainability gap in buildings. Better occupancy prediction decreases this gap both in the …