Artificial neural networks for the generation of geothermal maps of ground temperature at various depths by considering land configuration

Energy

Volumn 48, Issue 1, 2012, Pages 233-240

  Kalogirou, Soteris A ^a   Florides, Georgios A ^a   Pouloupatis, Panayiotis D ^a   Panayides, Ioannis ^b   Joseph Stylianou, Josephina ^b   Zomeni, Zomenia ^b  

^a CYPRUS UNIVERSITY OF TECHNOLOGY   (Cyprus)

^b Ministry of Agriculture and Natural Resources Cyprus   (Cyprus)

Author keywords

Artificial neural networks; Boreholes; Geothermal maps; Ground temperature

Indexed keywords

BOREHOLES; MAPS; NEURAL NETWORKS;

ACCURATE MAPPING; ARCHIVED DATA; CORRELATION COEFFICIENT; DATA SETS; DRAWING SOFTWARES; FEED-FORWARD; GEOTHERMAL HEAT; GROUND TEMPERATURE; HIDDEN LAYERS; INPUT PARAMETER; PREDICTION ERRORS; TOPOGRAPHIC MAP; TRAINING DATASET; VALIDATION PHASE;

NETWORK ARCHITECTURE;

ARTIFICIAL NEURAL NETWORK; BOREHOLE; DATA SET; GEOTHERMAL ENERGY; HEAT BALANCE; LAND SURFACE; MODEL VALIDATION; SOFTWARE; TEMPERATURE GRADIENT;

CYPRUS;

EID: 84869886132     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.06.045     Document Type: Article

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