Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...

Abstract: This work proposed two machine learning models, LSTM and Autoregressive models, for predicting electricity consumption in Uttarakhand for the 16 months in terms of forecast validation.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. Uploading ...

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