Neural network using DBS spectrograms forecasts the first ELM 100 ms ahead in DIII-D H-mode shots as a proof-of-concept for predictive mitigation.
ELM energy and particle losses and their extrapolation to burning plasma experiments
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Forecasting the first Edge Localized Mode (ELM) after LH-transition with a neural network trained on Doppler Backscattering data from DIII-D
Neural network using DBS spectrograms forecasts the first ELM 100 ms ahead in DIII-D H-mode shots as a proof-of-concept for predictive mitigation.