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PC-LA-LSTM: A Reservoir Water Level Prediction Model Integrating Physical Constraints and Lag Attention Mechanism

2026-05-23

Abstract excerpt

<title>Abstract</title> <p>The reservoir water level exhibits strong nonlinearity and time-varying lag characteristics, influenced by climate change and human activities. Traditional data-driven models struggle to balance water volume conservation and prediction accuracy. To address this, this paper proposes a Long Short-Term Memory (LSTM) model that combines reservoir storage balance physical constraints and a l...

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Literature Corpus work
002b442b-ba97-563e-ab25-011778cabdd8
DOI
10.21203/rs.3.rs-9501245/v1
Open publication

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PC-LA-LSTM: A Reservoir Water Level Prediction Model Integrating Physical Constraints and Lag Attention MechanismDOI 10.21203/rs.3.rs-9501245/v1
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