A KAN-based doubly residual N-BEATS model with adversarial domain adaptation is claimed to improve zero-shot day-ahead electricity price forecasts on Nord Pool by 13% over N-BEATS and 24% over KAN.
Domain-adversarial training of neural networks
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Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks
A KAN-based doubly residual N-BEATS model with adversarial domain adaptation is claimed to improve zero-shot day-ahead electricity price forecasts on Nord Pool by 13% over N-BEATS and 24% over KAN.