Australian researchers improved solar generation forecasts by 14. 6% by integrating advanced AI methods with First Nations seasonal knowledge, offering new potential for more accurate renewable energy planning. From pv magazine Australia Researchers at Charles Darwin University (CDU) in Australia's Northern Territory have developed FNS-Metrics, a solar forecasting system that uses seasonal information from First Nations calendars. The team fed this data into Conv-Ensemble, a new AI prediction model they designed. The outcome of the study was a solar prediction error rate less than half that of ...Den vollständigen Artikel lesen ...
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