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Title |
Finding the optimal solar cell design to maximize energy production |
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Detail |
Researchers in Spain have proposed a new standard for solar cell testing, which they say could enable more accurate determinations of a cell’s annual energy yield. Using machine learning, the method processes data sets consisting of thousands of solar spectra, creating representative examples which can then be used to predict average annual efficiency.
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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 Energy Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products | |||
Published Date | 04.12.2018 | |||
Original Url | Original Url | |||
Share |
Title |
---|
Finding the optimal solar cell design to maximize energy production
|
Detail |
Researchers in Spain have proposed a new standard for solar cell testing, which they say could enable more accurate determinations of a cell’s annual energy yield. Using machine learning, the method processes data sets consisting of thousands of solar spectra, creating representative examples which can then be used to predict average annual efficiency. |
Country |
International
|
Source |
PV-Magazine |
Regions |
Africa Asia Australia Europe North America Oceania South America |
Sectors |
Non-Renewable Energy Solar Photovoltaic PV Energy Energy Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products |
Published Date |
04.12.2018 |
Original Url |
Share |
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