Half Hourly Electricity Load Prediction using Echo State Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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

Half Hourly Electricity Load Prediction using Echo State Network

Shivani Varshney, Toran Verma

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), https://www.ijsr.net/search_index_results_paperid.php?id=2014351, Volume 3 Issue 6, June 2014, 885 - 888

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