An artificial neural network-based peak demand and system loss forecasting system and its effect on demand response programs
Basnet, Saurav Man Singh Aburub, Haneen Mohammad Dawoud Jewell, Ward T.
Basnet, Saurav Man Singh
Aburub, Haneen Mohammad Dawoud
Jewell, Ward T.
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2016
Type
Conference paper
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Keywords
Artificial neural network,Demand response,Multi-Layer Feed Forward Neural Network (MLF-NN),Peak demand
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Citation
S. M. Basnet, H. Aburub and W. Jewell, "An artificial neural network-based peak demand and system loss forecasting system and its effect on demand response programs," 2016 Clemson University Power Systems Conference (PSC), Clemson, SC, 2016, pp. 1-5
Abstract
This paper describes a neural network application to reduce the computational complexities in a smart grid environment by predicting peak demand and losses for the next operating day. Mitigating peak demands and losses could significantly reduce outage risks and increase costs savings, hence improving the reliability and efficiency of Electrical Service Providers (ESPs).
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IEEE
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Clemson University Power Systems Conference (PSC)
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2469-8830