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Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting. (2024). Fissha, Yewuhalashet ; Hosseini, Shahab ; Esangbedo, Moses Olabhele ; Sazid, Mohammed ; Abbas, Hawraa H ; Taiwo, Blessing Olamide.
In: Resources Policy.
RePEc:eee:jrpoli:v:92:y:2024:i:c:s0301420724003817.

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  1. External uncertainty and raw material price in energy transition: Implications for green development. (2025). Pan, Zhaoshuai ; Guo, Jiaxing.
    In: Renewable Energy.
    RePEc:eee:renene:v:241:y:2025:i:c:s0960148125000163.

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  2. Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals. (2025). Vespignani, Joaquin ; Smyth, Russell ; Saadaoui, Jamel.
    In: Energy Economics.
    RePEc:eee:eneeco:v:142:y:2025:i:c:s0140988325000180.

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  3. Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals. (2024). Vespignani, Joaquin ; Smyth, Russell ; Saadaoui, Jamel.
    In: Working Papers.
    RePEc:tas:wpaper:27746325.

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  4. Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals. (2024). Vespignani, Joaquin ; Smyth, Russell ; Saadaoui, Jamel.
    In: MPRA Paper.
    RePEc:pra:mprapa:122858.

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  5. Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals. (2024). Vespignani, Joaquin ; Smyth, Russell ; Saadaoui, Jamel.
    In: Monash Economics Working Papers.
    RePEc:mos:moswps:2024-19.

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    RePEc:gam:jmathe:v:10:y:2022:i:9:p:1611-:d:811472.

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  16. Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms. (2022). Zhang, Wengang ; Yong, Weixun ; Tran, Trung Tin ; Nguyen-Thoi, Trung ; Zhou, Jian ; Choi, Yosoon ; Bui, Xuan-Nam.
    In: Reliability Engineering and System Safety.
    RePEc:eee:reensy:v:221:y:2022:i:c:s0951832022000163.

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  17. A non-ferrous metal price ensemble prediction system based on innovative combined kernel extreme learning machine and chaos theory. (2022). Li, Zhiwu ; Zhang, Linyue ; Wang, Jianzhou ; Guo, Honggang ; Lu, Haiyan.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004184.

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  18. Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction. (2022). Huang, Yu-Ting ; Bai, Yu-Long ; Ma, Yong-Jie ; Yu, Qing-He ; Ding, Lin.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004123.

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  19. Medium- to long-term nickel price forecasting using LSTM and GRU networks. (2022). Bulu, Kurtulu ; Zor, Kasim ; Ozdemir, Ali Can.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003506.

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  20. A multi-model fusion based non-ferrous metal price forecasting. (2022). Liu, Qing ; Zhou, Hanlu ; Yan, Feng.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001623.

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  21. Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occams window approach. (2022). Wei, YU ; Shang, Yue ; Chen, Yongfei.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004482.

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  22. Gold Against the Machine. (2021). Plakandaras, Vasilios ; Papadimitriou, Theophilos ; Gogas, Periklis.
    In: Computational Economics.
    RePEc:kap:compec:v:57:y:2021:i:1:d:10.1007_s10614-020-10019-z.

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  23. A Hybrid Whale Optimization Algorithm for Global Optimization. (2021). Zhuo, Guang-Lin ; Lee, Chun-Yao.
    In: Mathematics.
    RePEc:gam:jmathe:v:9:y:2021:i:13:p:1477-:d:581173.

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  24. Predicting Gold and Silver Price Direction Using Tree-Based Classifiers. (2021). Sadorsky, Perry.
    In: JRFM.
    RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:198-:d:546254.

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  25. Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm. (2021). Wang, Shouyang ; Sun, Shaolong ; Du, Pei ; Guo, Jue ; Wu, Jing.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721003445.

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  26. Forecasting copper price by application of robust artificial intelligence techniques. (2021). Asadizadeh, Mostafa ; Shakeri, Jamshid ; Najmoddini, Iraj ; Khoshalan, Hasel Amini.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002506.

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  27. Exchange Rate Forecasting Using Ensemble Modeling for Better Policy Implications. (2021). Manas, Tripathi ; Saurabh, Kumar ; Kumar, Inani Sarveshwar.
    In: Journal of Time Series Econometrics.
    RePEc:bpj:jtsmet:v:13:y:2021:i:1:p:43-71:n:3.

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  28. Deep belief network for gold price forecasting. (2020). Zhang, Pinyi ; Ci, Bicong.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:69:y:2020:i:c:s030142072030307x.

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  29. Hedging and safe-haven characteristics of Gold against currencies: An investigation based on multivariate dynamic copula theory. (2020). Guesmi, Khaled ; Chevallier, Julien ; Bedoui, Rihab ; Nguyen, Quynh Nga ; Majdoub, Najemeddine.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719304921.

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  30. Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm. (2020). Bui, Thu-Thuy ; Nguyen, Nga ; Moayedi, Hossein ; Zhang, Hong ; Vu, Diep-Anh ; Mahesh, Vinyas ; Nguyen-Thoi, Trung.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:66:y:2020:i:c:s0301420719307706.

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  31. Multistep-ahead forecasting of coal prices using a hybrid deep learning model. (2020). Jianhua, Zhang ; Alameer, Zakaria ; Li, Kenli ; Ye, Haiwang ; Fathalla, Ahmed.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:65:y:2020:i:c:s0301420719305240.

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  32. Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility. (2020). Jianhua, Zhang ; Alameer, Zakaria ; Elaziz, Mohamed Abd ; Ye, Haiwang ; Ewees, Ahmed A.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:65:y:2020:i:c:s0301420719300832.

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  33. A Novel Power-Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China. (2019). Ma, Xin ; Zhang, Peng ; She, Kun.
    In: Complexity.
    RePEc:hin:complx:1510257.

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  34. How do black swan events go global? -Evidence from US reserves effects on TOCOM gold futures prices. (2019). Wang, Yang ; Sui, Xiuping ; Cao, Xinbang ; Zhao, Wenxi.
    In: Finance Research Letters.
    RePEc:eee:finlet:v:31:y:2019:i:c:s1544612319306889.

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