A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector
There is an ongoing, revolutionary transformation occurring across the globe. This transformation is altering established processes, disrupting traditional business models and changing how people live their lives. The power sector is no exception and is going through a radical transformation of its...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/3/1077 |
| _version_ | 1797624748635586560 |
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| author | Vladimir Franki Darin Majnarić Alfredo Višković |
| author_facet | Vladimir Franki Darin Majnarić Alfredo Višković |
| author_sort | Vladimir Franki |
| collection | DOAJ |
| description | There is an ongoing, revolutionary transformation occurring across the globe. This transformation is altering established processes, disrupting traditional business models and changing how people live their lives. The power sector is no exception and is going through a radical transformation of its own. Renewable energy, distributed energy sources, electric vehicles, advanced metering and communication infrastructure, management algorithms, energy efficiency programs and new digital solutions drive change in the power sector. These changes are fundamentally altering energy supply chains, shifting geopolitical powers and revising energy landscapes. Underlying infrastructural components are expected to generate enormous amounts of data to support these applications. Facilitating a flow of information coming from the system′s components is a prerequisite for applying Artificial Intelligence (AI) solutions in the power sector. New components, data flows and AI techniques will play a key role in demand forecasting, system optimisation, fault detection, predictive maintenance and a whole string of other areas. In this context, digitalisation is becoming one of the most important factors in the power sector′s transformation process. Digital solutions possess significant potential in resolving multiple issues across the power supply chain. Considering the growing importance of AI, this paper explores the current status of the technology’s adoption rate in the power sector. The review is conducted by analysing academic literature but also by analysing several hundred companies around the world that are developing and implementing AI solutions on the grid’s edge. |
| first_indexed | 2024-03-11T09:46:55Z |
| format | Article |
| id | doaj.art-6453201d7e6e473c828b77cd3a8ff89b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T09:46:55Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6453201d7e6e473c828b77cd3a8ff89b2023-11-16T16:32:18ZengMDPI AGEnergies1996-10732023-01-01163107710.3390/en16031077A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power SectorVladimir Franki0Darin Majnarić1Alfredo Višković2Faculty of Engineering Rijeka, University of Rijeka, Vukovarska 58, 51000 Rijeka, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ul. Ivana Lučića 5, 10000 Zagreb, CroatiaFaculty of Engineering Rijeka, University of Rijeka, Vukovarska 58, 51000 Rijeka, CroatiaThere is an ongoing, revolutionary transformation occurring across the globe. This transformation is altering established processes, disrupting traditional business models and changing how people live their lives. The power sector is no exception and is going through a radical transformation of its own. Renewable energy, distributed energy sources, electric vehicles, advanced metering and communication infrastructure, management algorithms, energy efficiency programs and new digital solutions drive change in the power sector. These changes are fundamentally altering energy supply chains, shifting geopolitical powers and revising energy landscapes. Underlying infrastructural components are expected to generate enormous amounts of data to support these applications. Facilitating a flow of information coming from the system′s components is a prerequisite for applying Artificial Intelligence (AI) solutions in the power sector. New components, data flows and AI techniques will play a key role in demand forecasting, system optimisation, fault detection, predictive maintenance and a whole string of other areas. In this context, digitalisation is becoming one of the most important factors in the power sector′s transformation process. Digital solutions possess significant potential in resolving multiple issues across the power supply chain. Considering the growing importance of AI, this paper explores the current status of the technology’s adoption rate in the power sector. The review is conducted by analysing academic literature but also by analysing several hundred companies around the world that are developing and implementing AI solutions on the grid’s edge.https://www.mdpi.com/1996-1073/16/3/1077artificial intelligencepower sectoradoption rateapplicationAI companiesAI start-ups |
| spellingShingle | Vladimir Franki Darin Majnarić Alfredo Višković A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector Energies artificial intelligence power sector adoption rate application AI companies AI start-ups |
| title | A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector |
| title_full | A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector |
| title_fullStr | A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector |
| title_full_unstemmed | A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector |
| title_short | A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector |
| title_sort | comprehensive review of artificial intelligence ai companies in the power sector |
| topic | artificial intelligence power sector adoption rate application AI companies AI start-ups |
| url | https://www.mdpi.com/1996-1073/16/3/1077 |
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