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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Early Anomaly-Onset Detection based on Wigner--Ville Distribution Slice Spectra: A Transmission-Grid Test Case

    A new research paper proposes using Wigner--Ville Distribution Slice (WVDS) spectra for anomaly detection in power grids. This method analyzes voltage waveforms in real-time, aiming to identify disturbances as they occur. The WVDS approach, when combined with a baseline-normalized deviation score, demonstrated a lower false-alarm rate compared to traditional Fast Fourier Transform (FFT) methods, reducing pre-onset false alarms to 0.69%. While WVDS was more selective, it also missed more anomalies than FFT. AI