一种水库出库流量连续预测方法及装置
By constructing a reservoir storage and outflow model based on a long short-term memory network, and using characteristic data such as reservoir flow and timestamps for continuous prediction, the problem of dependence on observed storage in existing technologies is solved, and high-precision reservoir outflow prediction is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for predicting reservoir outflow based on long short-term memory networks rely on observed reservoir water storage data and do not perform well under unstable climate and changing human needs, resulting in predictions that deviate from actual values.
A reservoir storage and outflow model based on a long short-term memory network is adopted. By using characteristic data such as daily inflow, total inflow, water intake and timestamps, an input feature dataset is constructed. Through standardization processing, the reservoir outflow model is driven to make continuous predictions, avoiding dependence on observed storage.
It enables high-precision continuous prediction of reservoir outflow in the absence of continuous water storage observation data, improving the accuracy and stability of the prediction.
Smart Images
Figure CN121525460B_ABST