ENERGY OPTIMIZATION OF AIR HANDLING UNITS USING CONSTRAINED PREDICTIVE CONTROLLERS BASED ON DYNAMIC NEURAL NETWORKS

Energy Optimization of Air Handling Units Using Constrained Predictive Controllers Based on Dynamic Neural Networks

Optimizing energy consumption in buildings is a significant challenge in today’s society.A major part of energy consumption is in heating, ventilation and air Twin TOB Set conditioning (HVAC) systems.In this paper, the aim is to reduce the energy consumption of air handling units (AHU) by applying optimal control.This system used in this stu

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Irregular Repetition Slotted ALOHA Over Rayleigh Block Fading Channels: Bounds and Threshold Saturation via Spatial Coupling

In irregular repetition slotted ALOHA (IR-SA) systems, a population of devices transmits their packets to an access point (AP) within a frame of slots.The AP decodes these packets by iterative processing between intra- and Mobile Accessories inter-slot successive interference cancellations.The average normalized offered traffic, as a performance me

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