Prediction of room temperature and relative humidity by autoregressive linear and nonlinear neural network models for an open office

Energy and Buildings

Volumn 43, Issue 6, 2011, Pages 1452-1460

  Mustafaraj, G ^a   Lowry, G ^b   Chen, J ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b LONDON SOUTH BANK UNIVERSITY   (United Kingdom)

Author keywords

Black box autoregressive linear and nonlinear neural network models; Building management system; Optimal brain surgeon pruning algorithm; Room temperature and relative humidity prediction

Indexed keywords

AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; BUILDING MANAGEMENT SYSTEM; COEFFICIENT OF DETERMINATION; DRY BULB TEMPERATURE; EXTERNAL INPUT; FULLY CONNECTED NETWORKS; GOODNESS OF FIT; INDOOR AIR QUALITY; INTERNAL CLIMATE; LINEAR ARX MODEL; MEAN ABSOLUTE ERROR; MEAN SQUARED ERROR; MODEL OUTPUTS; MODERN BUILDINGS; NONLINEAR AUTOREGRESSIVE MODEL; NONLINEAR NEURAL NETWORKS; OPTIMAL BRAIN SURGEON; OPTIMAL BRAIN SURGEON PRUNING ALGORITHM; OPTIMAL NETWORK STRUCTURE; PERFORMANCE MEASURE; REAL MEASUREMENTS; ROOM TEMPERATURE; THERMAL BEHAVIOURS; TIME-SCALES;

ADAPTIVE CONTROL SYSTEMS; AIR QUALITY; ALGORITHMS; ATMOSPHERIC HUMIDITY; BRAIN MODELS; CLIMATE MODELS; FORECASTING; INDOOR AIR POLLUTION; INTELLIGENT BUILDINGS; MANAGEMENT; NETWORK MANAGEMENT; STRUCTURAL OPTIMIZATION;

NEURAL NETWORKS;

EID: 79953749287     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2011.02.007     Document Type: Article

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