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Project News Details
| Title |
Unpacking solar-project data analytics |
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|---|---|---|---|---|
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| Detail |
The PV industry is embracing artificial intelligence and machine learning (ML) techniques to automate operations and maintenance (O&M) diagnostics and predictive analytics in PV systems. More transparency and standard definitions are needed, however, as US-based Sandia Labs scientists Joshua Stein and Marios Theristis explain.
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| Country | ||||
| Source | PV-Magazine | |||
| Regions | Africa Asia Australia Europe North America Oceania South America | |||
| Sectors | Non-Renewable Energy Solar Photovoltaic PV Energy Construction Computer Hardwares and Consumables Petroleum Products | |||
| Published Date | 26.12.2024 | |||
| Original Url | Original Url | |||
| Share | ||||
International
| Title |
|---|
|
Unpacking solar-project data analytics
|
| Detail |
| The PV industry is embracing artificial intelligence and machine learning (ML) techniques to automate operations and maintenance (O&M) diagnostics and predictive analytics in PV systems. More transparency and standard definitions are needed, however, as US-based Sandia Labs scientists Joshua Stein and Marios Theristis explain. |
| Country |
|
International
|
| Source |
| PV-Magazine |
| Regions |
| Africa Asia Australia Europe North America Oceania South America |
| Sectors |
| Non-Renewable Energy Solar Photovoltaic PV Energy Construction Computer Hardwares and Consumables Petroleum Products |
| Published Date |
| 26.12.2024 |
| Original Url |
| Share |
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