The prediction of heating energy consumption in a model house by using artificial neural networks in Denizli-Turkey

Advances in Engineering Software

Volumn 41, Issue 2, 2010, Pages 141-147

  Dombayci, Ö Altan ^a  

^a PAMUKKALE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Degree hour method; Energy consumption; Heating

Indexed keywords

BACKPROPAGATION; ELECTRIC LOAD FORECASTING; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; GAS INDUSTRY; HOUSES; NATURAL GAS; NEURAL NETWORKS; RENEWABLE ENERGY RESOURCES; STATISTICAL TESTS;

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; BEST ESTIMATES; DEGREE-HOUR METHOD; ENERGY CONSUMPTION; ENERGY REDUCTION; ENERGY SAVING; ENVIRONMENTAL PROBLEMS; FOSSIL RESOURCES; HEATING ENERGY CONSUMPTION; LOGICAL SOLUTION; MEAN ABSOLUTE PERCENTAGE ERROR; NATURAL GAS RESERVES; ROOT-MEAN-SQUARED; TESTING PHASE; TRAINING PHASE;

HEATING;

EID: 70449532032     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2009.09.012     Document Type: Article

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