Adaptive recurrent neural network system for multi-step-ahead hourly prediction of power system loads

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 5, Issue , 1994, Pages 3393-3397

  Khotanzad, Alireza ^a   Abaye, Alireza ^a   Maratukulam, Dominic ^a  

^a SOUTHERN METHODIST UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ATMOSPHERIC HUMIDITY; ELECTRIC LOAD FORECASTING; ELECTRIC LOADS; ELECTRIC POWER SYSTEMS; ELECTRIC UTILITIES; LEARNING SYSTEMS; TEMPERATURE;

ADAPTIVE RECURRENT NEURAL NETWORKS; BACK PROPAGATION; NEURAL NETWORK TRAINING; TEACHER FORCING STRATEGY; TIME LEARNING ALGORITHMS;

NEURAL NETWORKS;

EID: 0028743398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)