Home           Contact us           FAQs           
    
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
    Abstract
2012 (Vol. 4, Issue: 20)
Article Information:

Intelligent Self-developing and Self-adaptive Electric Load Forecaster based on Adaptive FNN+GA+GD

Chinwang Lou and Mingchui Dong
Corresponding Author:  Chinwang Lou 

Key words:  Fuzzy neural networks, smart grid, smart load forecaster, self-developing, self-adaptive, ,
Vol. 4 , (20): 4012-4021
Submitted Accepted Published
December 20, 2011 April 23, 2012 October 15, 2012
Abstract:

In this study, a novel electric load forecaster based on adaptive Fuzzy Neural Networks (FNN) and using Genetic Algorithm (GA) mixed with Gradient Descent (GD) is proposed to make it to posses the human learning ability. The proposed SDSA-FNN is firstly compared with various methods applied on function approximations. Moreover, it is applied on electric load forecasting application and verified on electric load data recorded on Macao power system. The simulation results reveal that the proposed methodology not only keeps the traditional objective function.
Abstract PDF HTML
  Cite this Reference:
Chinwang Lou and Mingchui Dong, 2012. Intelligent Self-developing and Self-adaptive Electric Load Forecaster based on Adaptive FNN+GA+GD .  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 4012-4021.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved