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

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Authors
Basnet, Saurav Man Singh
Aburub, Haneen Mohammad Dawoud
Jewell, Ward T.
Advisors
Issue Date
2016
Type
Conference paper
Keywords
Artificial Neural Network (ANN) , Demand response , Multi-Layer Feed Forward Neural Network (MLF-NN) , Peak demand
Research Projects
Organizational Units
Journal Issue
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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Publisher
IEEE
Journal
Book Title
Series
2016 Clemson University Power Systems Conference (PSC);
PubMed ID
DOI
ISSN
2469-8830
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