Reservoir level prediction and early warning method and system based on mixed deep learning model
The invention relates to a reservoir level prediction and early warning method and system based on a mixed deep learning model. The method comprises the following steps: 1) constructing a Conv1D-LSTM optimization hybrid model based on an attention mechanism and an improved particle swarm: obtaining...
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| creator | HUANG ZUHAI XU FEI CHEN YOUWU HUANG ZHENGPENG MA SENBIAO |
| description | The invention relates to a reservoir level prediction and early warning method and system based on a mixed deep learning model. The method comprises the following steps: 1) constructing a Conv1D-LSTM optimization hybrid model based on an attention mechanism and an improved particle swarm: obtaining reservoir rainwater condition data as model training data, constructing the Conv1D-LSTM hybrid model based on the attention mechanism, and then optimizing the Conv1D-LSTM hybrid model by adopting an improved particle swarm optimization algorithm; 2) loading an optimized hybrid model based on an attention mechanism and an improved particle swarm Conv1D-LSTM (Long Short Term Memory); real-time reservoir rainwater condition monitoring data are obtained and then input into the model for reservoir water level prediction, and a reservoir water level prediction value is obtained; and 3) judging whether the predicted water level is in a safety interval, if so, normally carrying out reservoir water level scheduling, otherwi |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Reservoir level prediction and early warning method and system based on mixed deep learning model |
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