Title :
A RBF network for short — Term Load forecast on microgrid
Author :
Xu, Fang-yuan ; Leung, M.C. ; Zhou, Long
Author_Institution :
Energy Syst. Group, City Univ. of London, London, UK
Abstract :
Short - term Load forecast significantly influences the management and pricing of power system. This paper presents a Radial Basis Function network based forecasting system to achieve this ability. A mean square error based training algorithm is applied and analysis is given on the Radial Basis Function selection.
Keywords :
distributed power generation; load forecasting; mean square error methods; power engineering computing; power system management; pricing; radial basis function networks; RBF network; mean square error based training algorithm; microgrid; power distribution; power system management; pricing; radial basis function network; radial basis function selection; short-term load forecast; Artificial neural networks; Humans; Load forecasting; Neurons; Radial basis function networks; Temperature; Training; ANN; Load forecast; Neuron; Pattern; RBF network;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580712
