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Project News Details
| Title |
PV module fault detection technique based on convolutional neural network |
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|---|---|---|---|---|
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| Detail |
An international research team has used the convolutional neural network (CNN) deep learning algorithm to identify faults in solar panels. Its work showed the proposed technique has a high degree of accuracy, especially if combined with transfer learning models.
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| Country | ||||
| Source | PV-Magazine | |||
| Regions | Africa Asia Australia Europe North America Oceania South America | |||
| Sectors | Infrastructure Construction Energy-Power and Electrical Computer Hardwares and Consumables | |||
| Published Date | 24.04.2024 | |||
| Original Url | Original Url | |||
| Share | ||||
International
| Title |
|---|
|
PV module fault detection technique based on convolutional neural network
|
| Detail |
| An international research team has used the convolutional neural network (CNN) deep learning algorithm to identify faults in solar panels. Its work showed the proposed technique has a high degree of accuracy, especially if combined with transfer learning models. |
| Country |
|
International
|
| Source |
| PV-Magazine |
| Regions |
| Africa Asia Australia Europe North America Oceania South America |
| Sectors |
| Infrastructure Construction Energy-Power and Electrical Computer Hardwares and Consumables |
| Published Date |
| 24.04.2024 |
| Original Url |
| Share |
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