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Research Paper | Computer Science Engineering | Volume 3 Issue 6, June 2014 | Pages: 885 - 888 | India
Half Hourly Electricity Load Prediction using Echo State Network
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
How to Cite?: Shivani Varshney, Toran Verma, "Half Hourly Electricity Load Prediction using Echo State Network", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 885-888, https://www.ijsr.net/getabstract.php?paperid=2014351, DOI: https://dx.doi.org/10.21275/2014351