“Incorporating First Nations seasonal knowledge into solar power generation predictions can significantly enhance accuracy by ...

Researchers have combining advanced AI techniques with First Nations seasonal data and discovered a 14.6% more accurate way ...

The in-depth observations of First Nations seasonal calendars could be key to improving solar power forecasting, according to ...

Australian researchers improved solar generation forecasts by 14.6% by integrating advanced AI methods with First Nations ...

The awe-inspiring distances of the cosmos are hard to visualise, so how can we be certain we are measuring them correctly?

CEA makes AWS mandatory at solar and wind sites to boost accuracy in forecasting, minimise grid errors, and improve renewable ...

The in-depth observations of First Nations seasonal calendars could be key to improving solar power forecasting, according to a world-first study by ...

Australia’s solar sector can’t rely on adding more panels alone. AI is now transforming solar into smart, adaptive assets ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

A new U.K.-led satellite mission concept aims to strengthen the country's position in space weather observation and ...