Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …

Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers,
each of which has a unique and sometimes contradictory objective compared with others …

The need to optimize the energy consumption of commercial buildings-responsible for over
40% of US energy consumption-has recently gained significant attention due to the call for …

This review paper investigates the progression of building energy optimization (BEO), with
particular emphasis on metaheuristic algorithms (MAs) within this field. This review …

Due to the overutilization of commercial buildings, climatic changes have occurred, which
has caused a major impact on the environment Global warming is the main issue faced by …

In this paper, a neural network predictive controller (NNPC) is proposed to control a buck
converter. Conventional controllers such as proportional-integral (PI) or proportional-integral …

The quantification of heating, ventilation, and air condition (HVAC) system flexibility is critical
to the operations of both the grid and buildings in demand response (DR) programs …

The proactive control of building's heating, ventilation, and air conditioning (HVAC) system
can reduce energy consumption and provides cost saving. An efficient design of a controller …

Abstract Heating Ventilation and Air Conditioning (HVAC) are energy-intensive systems that
greatly contribute to peak demand, which can cause stability and reliability issues in the grid …

The efficiency and resilience have a negative correlation and they move in opposite
directions. Both of them cannot be simultaneously enhanced and improving one of them …