Forecasting the mineral resource rent through the inclusion of economy, environment and energy: Advanced machine learning and deep learning techniques
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Published:2024-03
Issue:
Volume:90
Page:104729
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ISSN:0301-4207
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Container-title:Resources Policy
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language:en
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Short-container-title:Resources Policy
Author:
Sarwar SulemanORCID,
Aziz GhazalaORCID,
Waheed Rida,
Morales LucíaORCID
Funder
University of Jeddah
Reference45 articles.
1. An assessment of environmental sustainability corridor: the role of economic expansion and research and development in EU countries;Adedoyin;Sci. Total Environ.,2020
2. A review and evaluation of the state-of-the-art in PV solar power forecasting: techniques and optimization;Ahmed;Renew. Sustain. Energy Rev.,2020
3. Time series forecasting using wavelet denoising an application to Saudi stock index;Alrumaih;Journal of King Saud University - Engineering Sciences,2002
4. Bauer, D., Helena Khazdozian, J. M., Ruby Thuy Nguyen Michael H Severson, & Bjorn C Vaagensmith, Lionel Toba, Bo Zhang, Tasmin Hossain, Adam Paul Sibal, Braeton J Smith, Matthew E Riddle, Diane J Graziano, Tony Mathew, Patrick Cuscaden, Qiang Dai, Chukwunwike Iloeje, Lesley Edgemon, Caitlyn Sarna, J. Q. (2023). 2023 Critical Materials Strategy. No. INL/RPT-23-72323-Rev001. Idaho National Laboratory (INL), Idaho Falls, ID (United States).
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