Short-term Load Forecasting Based on VPSO-Elman Neural Network
Bo Chen, Xiaozi Cui, Lili Yuan, Xian Chen
Available Online May 2015.
- 10.2991/asei-15.2015.335How to use a DOI?
- VPSO algorithm; Elman neural network; Short-term load forecasting; MATLAB.
Because of the shortcomings which Elman neural network in the short-term load forecasting of power system is easy to fall into local minimum, slow convergence, Use VPSO (Variance Particle Swarm Optimization) to train Elman neural network in order to get optimal weights and thresholds. The optimized Elman network can avoid the convergence speed and getting into local minimum solution and other defects to the full. So it possesses best potential application in the field of short-term load forecasting.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bo Chen AU - Xiaozi Cui AU - Lili Yuan AU - Xian Chen PY - 2015/05 DA - 2015/05 TI - Short-term Load Forecasting Based on VPSO-Elman Neural Network BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1695 EP - 1698 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.335 DO - 10.2991/asei-15.2015.335 ID - Chen2015/05 ER -