Optimized Time-Series Forecasting for Electricity Consumption in Tetouan: A Machine Learning Approach with Greylag Goose Optimization
Authored by Marwa M. Eid
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American Journal of Business and Operations Research (AJBOR) is an international, peer-reviewed journal published by ASPG, USA, dedicated to advancing research in Business Intelligence and Business Data Analytics. The journal provides a scholarly platform for the publication of original research articles, review papers, and case studies focusing on data-driven decision-making, predictive analytics, optimization, and intelligent business systems.AJBOR promotes the integration of advanced analytics, machine learning, and operations research methods to address complex business challenges across diverse application domains. The journal encourages interdisciplinary collaboration between researchers, academics, and industry practitioners.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.AJBOR is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
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Authored by Marwa M. Eid
Read Full ArticleAuthored by Vishwajeet Singh, Rajesh Singh, Anamika Kumari
Read Full ArticleAuthored by M. Rathivel, M. Jeyaraman, Rahul Shukla
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