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Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings
When compared to QMeL approaches, QPMeL achieves 3X better multi-class separation, while using only 1/2 the number of gates and depth.
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
Currently, there is a trend towards the use of deep learning probabilistic forecasting methods.
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
During the last two decades, distributed energy systems, especially renewable energy sources (RES), have become more economically viable with increasing market share and penetration levels on power systems.
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