Unprecedented: Study Combines AI and Ancient Indigenous Calendars to Forecast Solar Energy With Double the Accuracy

Written by Romário Pereira de Carvalho

Published on 11/07/2025 at 18:10

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Australian Researchers Combine Artificial Intelligence with Indigenous Knowledge to Predict Solar Energy with Greater Precision and Less Error

A new study from Charles Darwin University (CDU) in Australia has introduced a promising innovation in the solar energy sector. Researchers from the institution combined artificial intelligence with traditional seasonal calendars of the First Nations to improve the prediction of solar energy production.

The idea is simple but powerful: to merge ancestral knowledge with cutting-edge technology to solve a real problem.

Solar energy is considered one of the main bets in renewable sources. However, accurately predicting the amount of energy that will be generated is still a major challenge.

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AI and Ancestral Wisdom

The study, titled “Conv-Ensemble for Solar Energy Prediction with Seasonal Information from the First Nations”, was published in the IEEE Open Journal of the Computer Society.

In it, the researchers used a deep learning model, a modern artificial intelligence technique, and integrated data based on the traditional calendars of the Tiwi, Gulumoerrgin (Larrakia), Kunwinjku, and Ngurrungurrudjba First Nations.

A contemporary calendar, known as Red Center, was also used.

These traditional calendars are linked to signs from nature, such as the behavior of plants and animals, which indicate changes in the seasons.

According to the study, this information can be more effective than current methods, especially in specific regions of Australia.

Lower Error and More Reliable Results

The tests were carried out with data from the Desert Knowledge Australia Solar Center located in Alice Springs. The results were encouraging.

The proposed model was able to predict solar energy generation with a significantly lower error rate than the models currently used in the industry.

According to the researchers, the error was less than half of what is observed in popular forecasting systems today.

Luke Hamlin, a PhD student at CDU and co-author of the study, highlighted the value of traditional knowledge.

According to him, the calendars of the First Nations provide a deep ecological understanding built over thousands of years of observation of nature.

“These seasonal insights are rooted in local ecological signals, such as the behavior of plants and animals. This is directly linked to changes in sunlight and climate patterns,” explained Hamlin.

“Integrating this knowledge allows for more accurate and culturally tailored predictions for different regions,” he concluded.

AI + Ancestral Wisdom: Future Applications and Research Expansion

Professors Bharanidharan Shanmugam and Thuseethan Selvarajah, also co-authors of the study, stated that the combination of AI and indigenous wisdom could transform the sector.

They note that creating a single universal model for solar forecasting is extremely difficult, and that approaches like this are essential to overcome this challenge.

Finally, the researchers believe that this technology could be applied in other regions and even in other renewable energy sources in the future.

With information from Tech Xplore.

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Unprecedented: Study Combines AI and Ancient Indigenous Calendars to Forecast Solar Energy With Double the Accuracy

Australian Researchers Combine Artificial Intelligence with Indigenous Knowledge to Predict Solar Energy with Greater Precision and Less Error

AI and Ancestral Wisdom

Lower Error and More Reliable Results

AI + Ancestral Wisdom: Future Applications and Research Expansion

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Unprecedented: Study Combines AI and Ancient Indigenous Calendars to Forecast Solar Energy With Double the Accuracy

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AI and Ancestral Wisdom

Lower Error and More Reliable Results

AI + Ancestral Wisdom: Future Applications and Research Expansion

The end of Nokia: the brand that was the cellphone of an entire generation has ended its smartphones, left Brazil, and today survives only in basic phones in India while seeking a new partner.

Workers were opening a modern road in Dover when they found, 6 meters below the asphalt, a 3,500-year-old boat made of stitched oak and plant fibers.

Dissatisfied with seeing people sleeping on the street, a man named Ryan Donais started building small mobile homes so that homeless people can escape the cold, each equipped with a bed, running water, electricity, and heating.

Consumers eat six times more chicken than in the 1960s, global meat supply quadruples in 60 years, and FAO report reveals the invisible cost on the plate: livestock could drive 80% of the increase in agricultural emissions over the next decade.

An Indonesian fisherman pulls a mysterious object from the sea and discovers that it is a Chinese underwater monitoring system, part of the so-called Underwater Great Wall that Beijing uses to track submarines and unmanned vehicles in strategic straits of the region.

Two 17-year-old Kenyans use coconut shells, corn cobs, and recycled materials to create an exhaust filter that reduces 93.3% of pollutant particles and wins an environmental award in Africa.

Man built a 5-acre lake to raise bass, but after 1,000 days the project turned into a wildlife sanctuary with eagles, deer, ducks, owls, and live cameras that transformed the farm into a biodiversity laboratory.

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