An artificial neural network-based peak demand and system loss forecasting system and its effect on demand response programs

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Issue Date
2016
Authors
Basnet, Saurav Man Singh
Aburub, Haneen Mohammad Dawoud
Jewell, Ward T.
Advisor
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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