Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting

Author:

Esangbedo Moses OlabheleORCID,Taiwo Blessing OlamideORCID,Abbas Hawraa H.ORCID,Hosseini Shahab,Sazid MohammedORCID,Fissha YewuhalashetORCID

Publisher

Elsevier BV

Reference88 articles.

1. Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm;Alameer;Resour. Pol.,2019

2. Study on price forecasting for gold commodities using tree-based customized adaboost algorithm;Anandaraj;International Journal of intelligent systems and applications in engineering,2023

3. Predicting non-ferrous metal commodity values as A function of USA and China GDP;Arbogast;Journal of Management and Engineering Integration,2017

4. How aluminum changed the world: a metallurgical revolution through technological and cultural perspectives;Ashkenazi;Technol. Forecast. Soc. Change,2019

5. Prediction of blasting cost in limestone mines using gene expression programming model and artificial neural networks;Bastami;Journal of mining and environment,2020

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