2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019
DOI: 10.1109/isgt-asia.2019.8881187
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Ultra-Short Term Load Forecasting Based on Elman Neural Network

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Cited by 6 publications
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“…This allows the network to capture sequential information and make predictions based on past inputs. The network is trained using backpropagation through time, where the error is propagated through the network and the weights are updated accordingly [30]. The ENN has been used for numerous purposes, both in science and engineering problems [31,32].…”
Section: Elman Neural Network (Enn)mentioning
confidence: 99%
“…This allows the network to capture sequential information and make predictions based on past inputs. The network is trained using backpropagation through time, where the error is propagated through the network and the weights are updated accordingly [30]. The ENN has been used for numerous purposes, both in science and engineering problems [31,32].…”
Section: Elman Neural Network (Enn)mentioning
confidence: 99%
“…Another application of Elman recurrent neural network contributing to the literature of forecasting was applied by [74]. The proposed technique aims to forecast load.…”
Section: Elman Recurrent Neural Networkmentioning
confidence: 99%