A RBF network for short — Term Load forecast on microgrid

ICMLC（2010）

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摘要

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.

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关键词

microgrid,neuron,power system management,radial basis function networks,pattern,radial basis function selection,load forecast,power distribution,short-term load forecast,mean square error based training algorithm,radial basis function network,power engineering computing,ann,distributed power generation,rbf network,load forecasting,pricing,mean square error methods,temperature,mean square error,artificial neural networks,power system,radial basis function

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