Forecasting electric energy consumption using neural networks

Energy Policy

Volumn 23, Issue 12, 1995, Pages 1097-1104

  Javeed Nizami, SSAK ^a   Al Garni, Ahmed Z ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Electric energy consumption; Modelling; Neural networks

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; COMPUTER SIMULATION; ELECTRIC POWER UTILIZATION; FEEDFORWARD NEURAL NETWORKS; FORECASTING; INSPECTION; MATHEMATICAL MODELS; REGRESSION ANALYSIS; STATISTICAL METHODS;

CHI-SQUARE TEST; ELECTRIC ENERGY CONSUMPTION; VISUAL INSPECTION TECHNIQUE;

ENERGY UTILIZATION;

ELECTRICITY CONSUMPTION; ELECTRICTY DEMAND; ENERGY CONSUMPTION FACTOR; METHODOLOGICAL EVALUATION; MODELLING APPROACH; NEURAL NETWORK; REGRESSION ANALYSIS;

SAUDI ARABIA, EASTERN PROVINCE;

EID: 0029512472     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/0301-4215(95)00116-6     Document Type: Article

References (20)

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9. Applications of neural network in regression analysis