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A comparative analysis of power demand forecasting with artificial intelligence and traditional approach.
Sadia Zahin
Hasan Habibul Latif
Sanjoy Kumar Paul
Abdullahil Azeem
Published in:
Int. J. Bus. Inf. Syst. (2013)
Keyphrases
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demand forecasting
artificial intelligence
supply chain
historical data
exponential smoothing
forecasting accuracy
computational intelligence
machine learning
database systems
evolutionary algorithm
data mining
multi objective
bp neural network
water resources