Technology Supervised learning model for predicting PV power without irradiation sensors – SPEBy solarenergyFebruary 4, 20260 South Korean researchers have developed a supervised learning framework that accurately predicts PV power without the need for radiation sensors…
Technology Slovak researchers predict output of PV inverters without weather sensors – SPEBy solarenergyDecember 19, 20250 Researchers in Slovakia have demonstrated a machine learning framework that predicts PV inverter output and detects anomalies using only electrical…
Solar Industry Dual-axis solar tracker based on UV and MEMS sensorsBy solarenergyAugust 8, 20240 Researchers have designed a new tracking system that uses a computational optimization-based PID controller. The proposed tracker uses two different…
