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courage11111

cuda-quartic-solver

A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvidia GPUs, for more details and results, see: https://arxiv.org/abs/1903.10041. The library is available for C++/CUDA as well as Python using Pybind11.

dynamic-optimizing-strategy-of-ev-charging-using-pso

UCLA, Smart charging, minimize load variance, Particle Swarm Optimization

energy-management-system-for-ev

ga_opf

Here I have implemented an optimal power flow with an aim of minimizing active power loss in a power system using genetic algorithm in MATLAB.

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

opf-by-particle-swarm

Optimal power flow by using PSO

reliable-frequency-regulation-through-vehicle-to-grid

Code and data for the article "Reliable Frequency Regulation through Vehicle-to-Grid: From EU Legislation to Robust Optimization" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://arxiv.org/pdf/2005.06042.pdf. This project was funded by the Institut VEDECOM.

sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

shape-based-approach-to-household-load-curve-clustering-and-prediction

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

team-learning-nlp

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

traffic_data_projection_using_graph-convolution

Using GCN and ChebNet implement traffic flow data prediction.

ved

VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research