Adding a harmonic oscillator constraint to LSTM time series models yields modest and inconsistent long-term temperature forecast improvements over plain recurrent nets and a sine-cosine regression baseline.
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PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data
Adding a harmonic oscillator constraint to LSTM time series models yields modest and inconsistent long-term temperature forecast improvements over plain recurrent nets and a sine-cosine regression baseline.