ABSTRACT Photovoltaic (PV) power forecasting is a foundational capability for operating power systems with high shares of variable renewable generation. However, the methodological landscape is fragmented across physical-based models, statistical time-series approaches, machine learning (ML), and increasingly diverse h...
Jokūbas Jonuška, R. Damaševičius, Diana Belova-Plonienė et al.· International Journal of Gre...· 0 citations
Deploying human pose estimation on low-cost, accelerator-free hardware remains a key open question for smart home activity recognition, where affordability and wide availability often matter as much as raw inference speed. This work addresses that question by evaluating thermal-image pose estimation on a Raspberry Pi 5...
Gabriela Vdoviak, T. Sledevič, D. Matuzevičius· Italian National Conference...· 0 citations
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