Short-Term Electrical Load Demand Forecasting Based on LSTM and RNN Deep Neural Networks
Short-Term Electrical Load Demand Forecasting Based on LSTM and RNN Deep Neural Networks
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Publisher
New York: Hindawi
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Language
English
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Publisher
New York: Hindawi
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Contents
As the development of smart grids is increasing, accurate electric load demand forecasting is becoming more important for power systems, because it plays a vital role to improve the performance of power companies in terms of less operating cost and reliable operation. Short-term load forecasting (STLF), which focuses on the prediction of few hours...
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Full title
Short-Term Electrical Load Demand Forecasting Based on LSTM and RNN Deep Neural Networks
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TN_cdi_proquest_journals_2699543709
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2699543709
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ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2022/2316474
