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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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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2015-01-01
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| Edice: | PLoS ONE |
| On-line přístup: | http://europepmc.org/articles/PMC4667993?pdf=render |
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