A fast electric load forecasting using neural networks

Midwest Symposium on Circuits and Systems

Volumn 2, Issue , 2000, Pages 646-649

  Lopes, Mara Lúcia M ^a   Minussi, Carlos R ^a   Lotufo, Anna Diva P ^a  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; FUZZY CONTROL; FUZZY SETS; GRADIENT METHODS; KALMAN FILTERING; NEURAL NETWORKS; REGRESSION ANALYSIS;

BINARY SYSTEMS; LINEAR REGRESSION;

ELECTRIC LOAD FORECASTING;

EID: 0034463498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Time series forecasting using neural network vs. Box-Jenkins methodology
2. Fuzzy parameter adaptation in optimization
3. Electric power system transient stability by neural networks
4. Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting
5. 30 years of adaptive neural networks: Perceptron, madaline, and backpropagation