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Improved Neural Networks with Random Weights for Short-Term Load Forecasting
An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INNRW). The key is to introduce a weighting technique...
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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4667993/ https://ncbi.nlm.nih.gov/pubmed/26629825 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0143175 |
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