Researchers at Newcastle University have created eco-friendly, high-efficiency photovoltaic cells for powering IoT devices using ambient light, achieving 38% power conversion efficiency. They also introduced an energy management technique using LSTM neural networks to optimize energy usage and minim
Newcastle University researchers have created environmentally-friendly, high-efficiency photovoltaic cells that harness ambient light to power internet of Things devices.
Harvesting energy from ambient light and artificial intelligence revolutionize the Internet of Things. Based on smart and adaptive operation, the energy consumption of sensor devices is reduced, and battery waste is avoided. Credit: Ella Maru Studio The team also introduced a pioneering energy management technique, employing long short-term memory artificial neural networks to predict changing deployment environments and adapt the computational load of IoT sensors accordingly. This dynamic energy management system enables the energy-harvesting circuit to operate at optimal efficiency, minimizing power losses or brownouts.
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