Artificial neural network models as a useful tool to forecast human thermal comfort using microclimatic and bioclimatic data in the great Athens area (Greece)

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volumn 45, Issue 4, 2010, Pages 447-453

  Moustris, Kostas P ^a   Tsiros, Ioannis X ^b   Ziomas, Ioannis C ^c   Paliatsos, Athanasios G ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial neural networks; Bioclimatology; Environmental management; Estimation; Microclimate; Prediction; Thermal monitoring; Thermal sensation; Urban climate

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BIOCLIMATOLOGY; THERMAL MONITORING; THERMAL SENSATIONS; URBAN CLIMATES;

ATMOSPHERIC HUMIDITY; CLIMATOLOGY; ELECTRIC LOAD FORECASTING; ENVIRONMENTAL MANAGEMENT; THERMAL COMFORT; WEATHER FORECASTING;

NEURAL NETWORKS;

AIR TEMPERATURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; COOLING POWER INDEX; DISCOMFORT INDEX; FORECASTING; GREECE; HUMIDITY; METEOROLOGY; MICROCLIMATE; MODEL; RISK; SCORING SYSTEM; SEASON; TEMPERATURE SENSE; THERMAL COMFORT; URBAN AREA; VELOCITY; WIND;

BODY TEMPERATURE REGULATION; CLIMATE; FORECASTING; GREECE; HUMANS; NEURAL NETWORKS (COMPUTER);

EID: 77951249193     PISSN: 10934529     EISSN: 15324117     Source Type: Journal    
DOI: 10.1080/10934520903540554     Document Type: Article

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