Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources
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- Katarzyna Sanak-Kosmowska & Jan W. Wiktor, 2021. "The Morphology and Differentiation of the Content of International Debate on Renewable Energy. A Bibliometric Analysis of Web of Science, Scopus, and Twitter," Energies, MDPI, vol. 14(21), pages 1-23, October.
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- Chhaya Dubey & Dharmendra Kumar & Ashutosh Kumar Singh & Vijay Kumar Dwivedi, 2024. "Applying machine learning models on blockchain platform selection," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 3643-3656, August.
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- Izanloo, Milad & Aslani, Alireza & Zahedi, Rahim, 2022. "Development of a Machine learning assessment method for renewable energy investment decision making," Applied Energy, Elsevier, vol. 327(C).
- Andrey I. Vlasov & Boris V. Artemiev & Kirill V. Selivanov & Kirill S. Mironov & Jasur O. Isroilov, 2022. "Predictive Control Algorithm for A Variable Load Hybrid Power System on the Basis of Power Output Forecast," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 1-7, May.
- Li, Baolin & Wang, Jia & Nassani, Abdelmohsen A. & Binsaeed, Rima H. & Li, Zeyun, 2023. "The future of Green energy: A panel study on the role of renewable resources in the transition to a Green economy," Energy Economics, Elsevier, vol. 127(PB).
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Keywords
intelligent predictive analytics; sustainable management; business investment; renewable energy sources; data mining;All these keywords.
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