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
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
Enter Your Email Address and Click Download Button
Similar Articles with Keyword 'Neural Network'
Image Noise Reduction with Autoencoder using Tensor Flow
Jai Sehgal, Dr Yojna Arora
Advance Cataract Onset Detection Using Deep Learning
Aditya Parulekar, Ashwin Martins, Miral Fernandes, Pratikesh Bhat, Pratiksha Shetgaonkar, Dr. Shailendra Aswale
Comparative Analysis of AI Techniques in the Prediction of Heart Disease
Review on Deep Learning and IoT Techniques on Corono Virus
Artificial Intelligence: The Backbone of Industry Evolution, Impact, and Future
Ralph Tichafa Tawanda Chawatama, Sun Shaowei