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World-First Study Uses First Nations Calendars for Solar Power Forecasting

NORTHERN TERRITORY, AUSTRALIA, JUL 11 – The AI model Conv-Ensemble improves solar forecasting accuracy by 14.6% and reduces error by 26.2% by incorporating First Nations ecological seasonal data.

Summary by TechXplore
The in-depth observations of First Nations seasonal calendars could be key to improving solar power forecasting, according to a world-first study by Charles Darwin University (CDU).

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scimex.org broke the news in on Friday, July 11, 2025.
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