Prospects for the implementation of artificial intelligence in renewable energy management
The article is an attempt at research in the field of the use of artificial intelligence (AI). The efficiency of using artificial intelligence (AI) technologies to control the load at the plant, energy generation from renewable energy sources, and the use of AI in these processes is analyzed. The re...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
North-Caucasus Federal University
2025-01-01
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| Series: | Современная наука и инновации |
| Subjects: | |
| Online Access: | https://msi.elpub.ru/jour/article/view/1685 |
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| _version_ | 1849248636069740544 |
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| author | A. T. Rostova A. A. Sokolov G. V. Masyutina |
| author_facet | A. T. Rostova A. A. Sokolov G. V. Masyutina |
| author_sort | A. T. Rostova |
| collection | DOAJ |
| description | The article is an attempt at research in the field of the use of artificial intelligence (AI). The efficiency of using artificial intelligence (AI) technologies to control the load at the plant, energy generation from renewable energy sources, and the use of AI in these processes is analyzed. The research of the current state and prospects of AI development in various industries and directions, the complexity in the multidimensional use of Artificial Intelligence at power plants in the areas of "green energy" are analyzed. |
| format | Article |
| id | doaj-art-5aec3abd54464b7cbb1b9517b44a6039 |
| institution | Kabale University |
| issn | 2307-910X |
| language | Russian |
| publishDate | 2025-01-01 |
| publisher | North-Caucasus Federal University |
| record_format | Article |
| series | Современная наука и инновации |
| spelling | doaj-art-5aec3abd54464b7cbb1b9517b44a60392025-08-20T03:57:48ZrusNorth-Caucasus Federal UniversityСовременная наука и инновации2307-910X2025-01-010413013510.37493/2307-910X.2024.4.141642Prospects for the implementation of artificial intelligence in renewable energy managementA. T. Rostova0A. A. Sokolov1G. V. Masyutina2North-Caucasus Federal University, Pyatigorsk Institute (branch)North-Caucasus Federal University, Pyatigorsk Institute (branch)North-Caucasus Federal University, Pyatigorsk Institute (branch)The article is an attempt at research in the field of the use of artificial intelligence (AI). The efficiency of using artificial intelligence (AI) technologies to control the load at the plant, energy generation from renewable energy sources, and the use of AI in these processes is analyzed. The research of the current state and prospects of AI development in various industries and directions, the complexity in the multidimensional use of Artificial Intelligence at power plants in the areas of "green energy" are analyzed.https://msi.elpub.ru/jour/article/view/1685artificial intelligenceload managementweather forecastingoptimizationmachine learningneural networksefficiencysecuritydeep learningreinforcement learning |
| spellingShingle | A. T. Rostova A. A. Sokolov G. V. Masyutina Prospects for the implementation of artificial intelligence in renewable energy management Современная наука и инновации artificial intelligence load management weather forecasting optimization machine learning neural networks efficiency security deep learning reinforcement learning |
| title | Prospects for the implementation of artificial intelligence in renewable energy management |
| title_full | Prospects for the implementation of artificial intelligence in renewable energy management |
| title_fullStr | Prospects for the implementation of artificial intelligence in renewable energy management |
| title_full_unstemmed | Prospects for the implementation of artificial intelligence in renewable energy management |
| title_short | Prospects for the implementation of artificial intelligence in renewable energy management |
| title_sort | prospects for the implementation of artificial intelligence in renewable energy management |
| topic | artificial intelligence load management weather forecasting optimization machine learning neural networks efficiency security deep learning reinforcement learning |
| url | https://msi.elpub.ru/jour/article/view/1685 |
| work_keys_str_mv | AT atrostova prospectsfortheimplementationofartificialintelligenceinrenewableenergymanagement AT aasokolov prospectsfortheimplementationofartificialintelligenceinrenewableenergymanagement AT gvmasyutina prospectsfortheimplementationofartificialintelligenceinrenewableenergymanagement |