International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 113

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014


Half Hourly Electricity Load Prediction using Echo State Network

Shivani Varshney [2] | Toran Verma [3]


Abstract: Prediction of time series is a task that cannot be efficiently done by using feed forward neural network. Recurrent neural network are the suitable neural networks for time series prediction task. Electricity load series is also a kind of chaotic time series. In this paper a echo state network is proposed to calculate the electricity load after half an hour. No other type of data is used for prediction except the previous electricity load values. The predicted values obtained from various simulation runs are very close to the actual value.


Keywords: Neural Network, Time Series prediction, Echo State Network, Electricity load forecasting


Edition: Volume 3 Issue 6, June 2014,


Pages: 885 - 888


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How to Cite this Article?

Shivani Varshney, Toran Verma, "Half Hourly Electricity Load Prediction using Echo State Network", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 885-888, https://www.ijsr.net/get_abstract.php?paper_id=2014351

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