Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Energy Research |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1548438/full |
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| _version_ | 1841553284182048768 |
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| author | Frontiers Editorial Office |
| author_facet | Frontiers Editorial Office |
| author_sort | Frontiers Editorial Office |
| collection | DOAJ |
| format | Article |
| id | doaj-art-48d6e095e8b04919bd14eb091060ff27 |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-48d6e095e8b04919bd14eb091060ff272025-01-09T11:01:37ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-12-011210.3389/fenrg.2024.15484381548438Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural networkFrontiers Editorial Officehttps://www.frontiersin.org/articles/10.3389/fenrg.2024.1548438/full |
| spellingShingle | Frontiers Editorial Office Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network Frontiers in Energy Research |
| title | Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network |
| title_full | Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network |
| title_fullStr | Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network |
| title_full_unstemmed | Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network |
| title_short | Expression of concern: Short-time photovoltaic output prediction method based on depthwise separable convolution visual geometry group-deep gate recurrent neural network |
| title_sort | expression of concern short time photovoltaic output prediction method based on depthwise separable convolution visual geometry group deep gate recurrent neural network |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1548438/full |
| work_keys_str_mv | AT frontierseditorialoffice expressionofconcernshorttimephotovoltaicoutputpredictionmethodbasedondepthwiseseparableconvolutionvisualgeometrygroupdeepgaterecurrentneuralnetwork |