AINeutralarXiv – CS AI · 10h ago6/10
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A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting
Researchers have developed a hybrid forecasting framework combining classical machine learning, quantum-inspired variational kernels, and generative AI to predict solar and wind energy generation across different geographic regions. The system achieves competitive performance with classical baselines while demonstrating superior ability to distinguish between calm and stormy weather patterns, with potential applications for power grid management and renewable energy optimization.