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Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises?

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  • Olga Pilipczuk

    (Institute of Management, University of Szczecin, 71-004 Szczecin, Poland)

Abstract

Nowadays, cognitive computing has become the popular solution to many problems arising in the energy industry, such as the creation of renewable technologies, energy saving, and searching for new sources. Last decade, a substantial number of scientific papers aiming to support these tasks were published. On the other hand, some years ago, the “cognitive enterprise” (CE) concept was introduced by the IBM company, which assumes, among others, the cognitive technologies used to increase enterprise intelligence. On the road to obtaining the status of a “cognitive enterprise”, it should overcome many challenges. Thus, the aim of the paper was to analyze the current state of research on the application of cognitive computing in the energy industry and to define the trends, challenges, milestones, and perspectives in scientific work’s development. The aim has been achieved using the bibliometric approach. The preliminary analysis was made by Web of Science data sources; 4182 records were retrieved. The results comprise the research field, geographic distribution of research, time analysis, and affiliation analysis. Additionally, descriptive statistics, as well as simple forecasting, were provided to present the research results. As a result of the research, the publication history road was created as well as the milestone framework on the path toward “cognitive enterprise”. The findings of this research can contribute to literature and practice by applying them to the process of cognitive enterprise models’ development as well as by adapting the education programs and training courses for enterprises and universities to market requirements.

Suggested Citation

  • Olga Pilipczuk, 2022. "Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises?," Energies, MDPI, vol. 15(17), pages 1-19, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6216-:d:898397
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    1. Miguel Ángel Reyes-Belmonte, 2020. "A Bibliometric Study on Integrated Solar Combined Cycles (ISCC), Trends and Future Based on Data Analytics Tools," Sustainability, MDPI, vol. 12(19), pages 1-29, October.
    2. Mr. Anton Korinek & Mr. Martin Schindler & Joseph Stiglitz, 2021. "Technological Progress, Artificial Intelligence, and Inclusive Growth," IMF Working Papers 2021/166, International Monetary Fund.
    3. A. Abrizah & A. N. Zainab & K. Kiran & R. G. Raj, 2013. "LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 721-740, February.
    4. Entang Adhy Muhtar & Budiman Rusli & Nina Karlina & Candradewini Candradewini & Riki Satia Muharam, 2021. "Bibliometric Analysis and Visualization of Energy Economics and Policy in Scopus from 2010 to 2021," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 503-507.
    5. Hu, Jie & Liu, Di & Du, Changqing & Yan, Fuwu & Lv, Chen, 2020. "Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition," Energy, Elsevier, vol. 198(C).
    6. Mr. V. Haksar & Mr. Yan Carriere-Swallow & Emran Islam & Andrew Giddings & Kathleen Kao & Emanuel Kopp & Mr. Gabriel Quiros-Romero, 2021. "Toward a Global Approach to Data in the Digital Age," IMF Staff Discussion Notes 2021/005, International Monetary Fund.
    7. Raman Kumar & Sehijpal Singh & Ardamanbir Singh Sidhu & Catalin I. Pruncu, 2021. "Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    8. Morteza Akbari & Maryam Khodayari & Mozhgan Danesh & Ali Davari & Hamid Padash, 2020. "A bibliometric study of sustainable technology research," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1751906-175, January.
    9. Lukas D. Filser & Fábio Francisco Silva & Otávio José Oliveira, 2017. "State of research and future research tendencies in lean healthcare: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 799-816, August.
    10. Huchang Liao & Ming Tang & Li Luo & Chunyang Li & Francisco Chiclana & Xiao-Jun Zeng, 2018. "A Bibliometric Analysis and Visualization of Medical Big Data Research," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    11. Andrea Diem & Stefan C. Wolter, 2011. "The Use of Bibliometrics to Measure Research Performance in Education Sciences," Economics of Education Working Paper Series 0066, University of Zurich, Department of Business Administration (IBW), revised May 2013.
    12. Tomaz Bartol & Gordana Budimir & Doris Dekleva-Smrekar & Miro Pusnik & Primoz Juznic, 2014. "Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1491-1504, February.
    13. Jaber Alshehri & Muhammad Khalid & Ahmed Alzahrani, 2019. "An Intelligent Battery Energy Storage-Based Controller for Power Quality Improvement in Microgrids," Energies, MDPI, vol. 12(11), pages 1-21, June.
    14. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.
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