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Journal of Business Analytics Volume 6, 2023 - Issue 1
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Research Articles

Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system

Salih Tutuna John M. Olin Business School, Washington University in St Louis, St Louis, United States
,
Ali Tosyalib Saunders College of Business, Rochester Institute of Technology, New York, United States
,
Hossein Sangrodyc Department of Electrical and Computer Engineering, State University of New York at Binghamton, Binghamton, New York, 13902United States
,
Mohammad Khasawnehd Department of Systems Science and Industrial Engineering, State University of New York at Binghamton, Binghamton, NY, 13902, USA
,
Marina Johnsone Information Management and Business Analytics, Feliciano School of Business, Montclair State University, 1 Normal Ave Feliciano, New Jersey, United StatesCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8366-8553
ORCID Icon,
Abdullah Albizrie Information Management and Business Analytics, Feliciano School of Business, Montclair State University, 1 Normal Ave Feliciano, New Jersey, United States
&
Antoine Harfouchef SEGMI, CEROS, University Paris, Nanterre, 92000France
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Pages 59-76 | Received 06 Dec 2021, Accepted 14 Feb 2022, Published online: 10 Mar 2022

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Read on this site (1)

Violetta Giada Cannas, Maria Pia Ciano, Mattia Saltalamacchia & Raffaele Secchi. (2023) Artificial intelligence in supply chain and operations management: a multiple case study research. International Journal of Production Research 0:0, pages 1-28.
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Articles from other publishers (1)

Salih Tutun, Marina E. Johnson, Abdulaziz Ahmed, Abdullah Albizri, Sedat Irgil, Ilker Yesilkaya, Esma Nur Ucar, Tanalp Sengun & Antoine Harfouche. (2022) An AI-based Decision Support System for Predicting Mental Health Disorders. Information Systems Frontiers 25:3, pages 1261-1276.
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