Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises?
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 publi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/17/6216 |
| _version_ | 1797495669995339776 |
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| author | Olga Pilipczuk |
| author_facet | Olga Pilipczuk |
| author_sort | Olga Pilipczuk |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T01:52:57Z |
| format | Article |
| id | doaj.art-6bc5755bc79749eab6e2b6eee288296d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T01:52:57Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6bc5755bc79749eab6e2b6eee288296d2023-11-23T13:02:17ZengMDPI AGEnergies1996-10732022-08-011517621610.3390/en15176216Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises?Olga Pilipczuk0Institute of Management, University of Szczecin, 71-004 Szczecin, PolandNowadays, 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.https://www.mdpi.com/1996-1073/15/17/6216cognitive computingcognitive enterpriseenergybibliometric analysis |
| spellingShingle | Olga Pilipczuk Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? Energies cognitive computing cognitive enterprise energy bibliometric analysis |
| title | Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? |
| title_full | Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? |
| title_fullStr | Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? |
| title_full_unstemmed | Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? |
| title_short | Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises? |
| title_sort | cognitive computing will it be the future smart power for the energy enterprises |
| topic | cognitive computing cognitive enterprise energy bibliometric analysis |
| url | https://www.mdpi.com/1996-1073/15/17/6216 |
| work_keys_str_mv | AT olgapilipczuk cognitivecomputingwillitbethefuturesmartpowerfortheenergyenterprises |