Wavelet based artificial neural network applied for energy efficiency enhancement of decoupled HVAC system

Energy Conversion and Management

Volumn 54, Issue 1, 2012, Pages 47-56

  Jahedi, G ^a   Ardehali, M M ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Control; Decoupling; Energy efficiency; HVAC; Self tuning; Wavelet neural network

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BATCH MODES; CLASSICAL CONTROLLERS; COMFORT CONDITIONS; CONSUMPTION OF ENERGY; CONTROL METHODOLOGY; CONTROL VARIABLE; CONTROLLER PERFORMANCE; DECOUPLING; EFFICIENCY ENHANCEMENT; GAIN COEFFICIENTS; HVAC; HVAC SYSTEM; INFINITE IMPULSE RESPONSE FILTER; LOWER ENERGIES; ONLINE USE; PD CONTROLLERS; PROPORTIONAL-DERIVATIVE CONTROLLERS; SELF TUNING; SETPOINTS; STEADY STATE; SYSTEM DYNAMICS; TEMPERATURE AND RELATIVE HUMIDITY; THERMAL ZONES; TRANSIENT OPERATION; VARIABLE AIR VOLUME; WATER FLOWS; WAVELET NEURAL NETWORK;

AIR CONDITIONING; COMPUTER SIMULATION; CONTROL; CONTROLLERS; ENERGY EFFICIENCY; ENERGY UTILIZATION; HUMIDITY CONTROL; IIR FILTERS; IMPULSE RESPONSE; NEURAL NETWORKS; WAVELET ANALYSIS;

ADAPTIVE CONTROL SYSTEMS;

EID: 80155214383     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.10.005     Document Type: Article

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