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作者:Badar Islam , Zuhairi Baharudin , Perumal Nallagownden
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.877-891Springer
摘要:In this paper, a modified backpropagation neural network is combined with a chaos-search genetic algorithm and simulated annealing algorithm for very short term electrical energy demand prediction in deregulated power industry. Multiple modifications are carried out on the conven...
作者:Badar Islam , Zuhairi Baharudin , Perumal Nallagownden
来源:[J].IEEJ Transactions on Electrical and Electronic Engineering(IF 0.343), 2017, Vol.12, pp.S20-S32Wiley
摘要:For the assessment of 1‐h‐ahead electrical energy demand, this paper presents an improved backpropagation neural network that has been integrated with a simulated annealing algorithm and a chaos search genetic algorithm. A self‐adaptive learning rate and modified moment...

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