Load forecasting and learning of influence patterns of the socio-economic and climatic factors on the power consumption

WSEAS Transactions on Mathematics

Volumn 4, Issue 3, 2005, Pages 176-183

  Rocha, Cláudio A ^b   De Santana, Ádamo L ^a   Francês, Carlos Renato L ^a   Favero, Eloi ^a   Bezerra, Ubiratan H ^a   Rego, Liviane ^a   Costa, João W C A ^a  

^a FEDERAL UNIVERSITY OF PARÁ   (Brazil)

^b Universidade da Amazonia   (Brazil)

Author keywords

Bayesian networks; Load forecast; Power consumption; Power systems; Regression

Indexed keywords

COMPUTATIONAL METHODS; CORRELATION METHODS; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SYSTEMS; ENERGY UTILIZATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

BAYESIAN NETWORKS; COMPUTATIONAL INTELLIGENCE METHODS; POWER CONSUMPTION;

DECISION SUPPORT SYSTEMS;

EID: 29844453099     PISSN: 11092769     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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