Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10258-024-00252-x.pdf
Reference41 articles.
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4. Catalao JPS, Pousinho HMI, Mendes VMF (2011) Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting. IEEE Trans Power Syst 26(1):137–144
5. Dehghani H, Bogdanovic D (2018) Copper price estimation using bat algorithm. Resour Pol 55:55–61. https://doi.org/10.1016/j.resourpol.2017.10.015
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