Dragonhu218

Dragonhu218's Stars

• Yuanyuan-Shi/joint-optimization

  This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Di Wang, and Baosen Zhang. "Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains." IEEE Transactions on Power System.

  Language:MATLAB4011

• Feeling-well/CCGRO-toy-case

  learn from Paper named: Solving two-stage robust optimization problems using a column-and-constraint generation method

  Language:Python8821

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.5k1.9k

• manaski/MARL

  多智能体强化学习

  8317

• CoffeeKumazaki/GRAN

  Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

  11

• yizcheng-574/demo-dr

  金湖居民负荷源网荷互动示例代码

  Language:C++3

• yizcheng-574/research-MES

  Simulation for MES

  Language:MATLAB4

• TanBendong/new-pac

  科学上网/自由上网/翻墙/软件/方法，免费shadowsocks/ss/ssr/v2ray/goflyway账号，vps一键搭建脚本/教程

  3

• WHUzxp/Supports_for_AEPS

  电力系统自动化《考虑电动汽车可调度潜力的充电站两阶段市场投标策略》源代码

  Language:MATLAB7027

• locuslab/optnet

  OptNet: Differentiable Optimization as a Layer in Neural Networks

  Language:Python51475

• wklchris/Note-by-LaTeX

  《简单粗暴 LaTeX》出版图书开源仓库 | The opensource repo for my published LaTeX book.

  Language:TeX1.6k211

• sjtug/SJTUThesis

  上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

  Language:TeX3.4k792

• aritrasep/FPBH.jl

  FPBH: A Feasibility Pump based Heuristic for Multi-objective Mixed Integer Linear Programming

  Language:Julia132

• ZepengW/Latex-PG-SJTU

  根据上海交通大学研究生院给出的研究生学位论文写作模版(https://www.gs.sjtu.edu.cn/info/1136/8374.htm) 进行修改适配，解决latex模版中的一些错误，以及和word模版不一致问题

  Language:TeX39

• wurmen/Gurobi-Python

  Learning how to use gurobi with python (in chinese)

  Language:HTML24787

• Jenniferz28/Time-Series-ARIMA-XGBOOST-RNN

  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

  Language:Python658219