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National Cryosphere Desert Data Center
Dynamic Optimization and Deduction Model System for End-of-Flood Water Storage Strategies of a Watershed Reservoir Group V1.0
Protected
38
0
0
0
Author:
None
Language:
Tag
Reservoir group
storing water at the end of the flood season
National Cryosphere Desert Data Center
Three-Dimensional Spatiotemporal Simulation and Forecasting Software for Meteorological and Hydrological Elements Based on Deep Learning V1.0
29
9
0
0
Author:
LI Lingjie
Language:
Tag
meteorological and hydrological forecast
National Cryosphere Desert Data Center
Reservoir Gate Optimal Operation Calculation Software V1.0 Based on Deep Reinforcement Learning Algorithm V1.0
39
11
0
0
Author:
Zhang Aonan
Language:
Tag
In-depth intensive learning and optimal dispatch of reservoir gates
None
National Cryosphere Desert Data Center
Joint Optimization System for Flood Control Water Levels During the Operation Period of a Watershed Reservoir Group V1.0
Protected
38
0
0
0
Author:
None
Language:
Python
Tag
Reservoir group
flood limit water level
National Cryosphere Desert Data Center
Game Equilibrium-Based Smart Grid Energy Management Software V1.0
Protected
27
1
0
0
Author:
yu wen wu,None,None
Language:
Matlab
Aiming at the energy management problem of coupling conflicts of interests among multiple entities in distribution networks and physical layer security constraints, a decision modeling and solution method based on Stackelberg game is proposed. By building a two-layer game model between operators and multiple microgrids, and using dual optimality conditions transform it into a single-layer optimization problem, effectively taking into account economic operation needs and global power flow security constraints, realizing rapid solution and software integration of distribution network dispatch decision problems, and having good robustness.
Tag
Artificial intelligence
smart grid energy management
National Cryosphere Desert Data Center
Intelligent Traffic Scenario Simulation Operation Monitoring and Evaluation System
Protected
26
0
0
0
Author:
zhang xin min,None,None,None,None
Language:
This system is a graphical monitoring and evaluation platform developed based on the micro traffic simulation software SUMO. The system communicates with the simulation kernel in real time through the TraCI interface, encapsulating complex background calls and data processing, and providing an intuitive graphical user interface. Users can easily load simulation scenarios, monitor traffic flow indicators in real time and observe microscopic vehicle behavior animations. After the simulation, the system automatically analyzes the data and quantitatively evaluates the average traffic delay and speed of global vehicles, providing an efficient virtual experimental environment for traffic planning and algorithm verification.
Tag
Artificial intelligence
intelligent transportation
traffic simulation
graphical monitoring and evaluation
National Cryosphere Desert Data Center
Mfrouting model
7766
1737
2
4
Author:
Language:
C
Tag
Multiple Flow Direction
flow routing method
National Cryosphere Desert Data Center
Fgets model (food and gill exchange of toxic substances)
7741
1685
0
1
Author:
Language:
Fortran
Tag
NPS related
monitoring
aquatic biology
metals
chemistry
toxicity
assessment
environmental effects
s
test/analysis
National Cryosphere Desert Data Center
Multi-Scenario Simulation and Interactive Consultation System Software for Water Engineering System Scheduling Based on Digital Twins V1.0
Protected
32
0
0
0
Author:
None
Language:
Tag
Digital twin
water engineering dispatch
National Cryosphere Desert Data Center
Southeast University Intelligence Deep Learning Platform
Protected
54
0
0
0
Author:
chen du xin
Language:
Dongda Qunzhi Deep Learning Operator Platform integrates all aspects of deep learning and is a platform that can provide integrated services to developers. Dongda Qunzhi deep learning operator platform can speed up the development of deep learning projects and reduce the iteration cycle; at the same time, it can share computing power and model development capabilities, improve development efficiency and business results, and can also reasonably schedule resources and improve resource utilization.
Tag
Artificial intelligence
deep learning
