The use of machine learning (ML) algorithms for power demand and supply prediction is
becoming increasingly popular in smart grid systems. Due to the fact that there exist many …

Heating, ventilation and air conditioning (HVAC) systems could significantly impact indoor
environmental quality, particularly in terms of thermal comfort and indoor air quality …

The paper proposes a solution for the problem of optimizing medium voltage power systems
which supply, among others, nonlinear loads. It is focused on decision tree (DT) application …

Due to the growing use of renewable energy resources as a sustainable solution for
supplying energy, forecasting of consumption and production in energy sector and …

The current air conditioning intelligent control system cannot achieve the ideal energy-
saving effect. The indoor temperature and humidity control is not good enough either …

Heating, ventilation, and air conditioning (HVAC) loads contribute significantly to the energy
consumption of a residential power network. Environmental factors, such as ambient …

Thermal-magnetic circuit breakers are essential components in medium-low-voltage power
distribution systems. However, their reliability can be compromised by nuisance tripping …

In recent years, the proportion of electricity consumption in air conditioning systems (ACSs)
has significantly increased. Unreasonable temperature settings of ACSs result in wasted …