Short-term power load forecasting with ordinary differential equation substitutions of polynomial networks

Electric Power Systems Research（2016）

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摘要

•A new neural network type – the differential polynomial neural network is presented.•Power load historical time-series are described by a general ordinary differential equation.•Daily load similarity cycle relations combined with time-series are applied for predictions.•4 different soft-computing methods are compared in 2 real data sets experiments.

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关键词

Power demand prediction,Week and day load cycle,Differential polynomial network,Substituting relative derivative term,Ordinary differential equation solution

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