AI Learns to Untangle Overlapping Power Grid Disturbances with Confidence Correction
A new FCN-GRU-Attention deep learning model with a confidence correction mechanism identifies overlapping composite power quality disturbances with over 99 ...
A new FCN-GRU-Attention deep learning model with a confidence correction mechanism identifies overlapping composite power quality disturbances with over 99 ...
A hybrid feature selection framework combining correlation analysis, PCA, neural sensitivity testing, and SHAP/LIME explainability reveals that average battery voltage ...
A new physics-embedded machine learning framework called SPEL-VFL reconstructs hidden hydrogen energy flows in smart grids and pipeline networks even ...
A new Bentham Books reference volume examines how high-performance computing, artificial intelligence, cloud technologies and cybersecurity can converge to build ...
Researchers in Taiwan combined Temporal Convolutional Networks, Nested LSTMs, signal decomposition, and a mutation-enhanced optimizer to cut wind power forecast ...
A systematic review of 130 studies finds that AI is transforming how decentralized energy communities forecast, optimize, and manage storage, ...
A new review of more than 450 studies maps how artificial intelligence is transforming clean technologies across energy, carbon capture, ...
Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...
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© 2026 Scienmag - Science Magazine