loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6
A Hierarchical Neural Model in Short-Term Load Forecasting
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
x 
 
Otávio A. S. Carpinteiro, Alexandre P. A. da Silva, Carlos H.L. Feichas, "A Hierarchical Neural Model in Short-Term Load Forecasting," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6241, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.
 
 
BibTex
x
 
@article{ 10.1109/IJCNN.2000.859403,
author = {Otávio A. S. Carpinteiro and Alexandre P. A. da Silva and Carlos H.L. Feichas},
title = {A Hierarchical Neural Model in Short-Term Load Forecasting},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {6},
year = {2000},
issn = {1098-7576},
pages = {6241},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859403},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - A Hierarchical Neural Model in Short-Term Load Forecasting
SN - 1098-7576
SP
EP
A1 - Otávio A. S. Carpinteiro,
A1 - Alexandre P. A. da Silva,
A1 - Carlos H.L. Feichas,
PY - 2000
VL - 6
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Otávio A. S. Carpinteiro, Escola Federal de Engenharia de Itajub?
Alexandre P. A. da Silva, Escola Federal de Engenharia de Itajub?
Carlos H.L. Feichas, Escola Federal de Engenharia de Itajub?
This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets - one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates them.
Citation:
Otávio A. S. Carpinteiro, Alexandre P. A. da Silva, Carlos H.L. Feichas, "A Hierarchical Neural Model in Short-Term Load Forecasting," ijcnn, vol. 6, pp.6241, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
Usage of this product signifies your acceptance of the Terms of Use.