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Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM

Short-term load forecasting (STLF) is an essential and challenging task for power- or energy-providing companies. Recent research has demonstrated that a framework called “decomposition and ensemble” is very powerful for energy forecasting. To improve the effectiveness of STLF, this paper proposes a...

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Hlavní autoři: Taiyong Li, Zijie Qian, Ting He
Médium: Artigo
Jazyk:Inglês
Vydáno: Wiley 2020-01-01
Edice:Complexity
On-line přístup:http://dx.doi.org/10.1155/2020/1209547
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