Time series

Santa Clara Reservoir Levels

Introduced in An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks2022

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Source: An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks

Dataset Variants

Santa Clara Reservoir Levels

Papers1

An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks

A novel probability-enhanced neural network model, called NEC+, which concurrently learns extreme and normal prediction functions and a way to choose among them via selective back propagation is proposed, which significantly outperforms state-of-the-art baselines and exhibits superior generalization ability on data with diverse distributions.

Tasks

EDIT

Time Series Analysis Irregular Time Series

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Wiki

METR-LA

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Statistics

Papers

1

Tasks

32

Introduced

2022

License

MIT

Modalities

Time series

Languages

English