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Project News Details
| Title |
Measuring impacts, whatever the weather |
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| Detail |
Scientists in the United States used machine learning to analyze maintenance reports, performance data and weather records from more than 800 solar farms located across the country. The analysis allowed them to determine which weather conditions have the biggest impact on PV generation, and to suggest the most effective ways to boost the resilience of PV installations to extreme weather events.
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| Country | ||||
| Source | PV-Magazine | |||
| Regions | Africa Asia Australia Europe North America Oceania South America | |||
| Sectors | Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables | |||
| Published Date | 31.08.2021 | |||
| Original Url | Original Url | |||
| Share | ||||
International
| Title |
|---|
|
Measuring impacts, whatever the weather
|
| Detail |
| Scientists in the United States used machine learning to analyze maintenance reports, performance data and weather records from more than 800 solar farms located across the country. The analysis allowed them to determine which weather conditions have the biggest impact on PV generation, and to suggest the most effective ways to boost the resilience of PV installations to extreme weather events. |
| Country |
|
International
|
| Source |
| PV-Magazine |
| Regions |
| Africa Asia Australia Europe North America Oceania South America |
| Sectors |
| Defence and Security Construction Energy-Power and Electrical Computer Hardwares and Consumables |
| Published Date |
| 31.08.2021 |
| Original Url |
| Share |
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