Title :
Outlier data forecasting of power load based on neural PSO
Author :
Pan, Guanyu ; Yan, Hui ; Dou, Quansheng ; Li, Haijun
Author_Institution :
Dept. of Inf. Eng., Jilin Bus. & Technol. Coll., Changchun, China
Abstract :
Load forecasting is a traditional research field of power system. This paper proposed a neural particle swarm algorithm which treats neural network as one of the particles in the swarm. The resulting optimized particle from the algorithm was used as the forecast model of the load forecasting. The model has been used in software system of load forecasting of JiLin power grid Co, Ltd. obtained desired results.
Keywords :
load forecasting; neural nets; particle swarm optimisation; power grids; JiLin power grid Co, Ltd; forecast model; load forecasting; neural PSO; neural network; neural particle swarm algorithm; optimized particle; outlier data forecasting; power load; power system; software system; Artificial neural networks; Biological system modeling; Forecasting; Load forecasting; Load modeling; Particle swarm optimization; Predictive models; artificial intelligence; load forecasting; neuron network; particle swarm optimization;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583678
