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  • 👋 Hi, I’m @Lee-min
  • 👀 I am interested in research on optimizing the operation of microgrids..
  • 🌱 I’m currently learning python.
  • 💞️ I’m looking to collaborate on ...
  • 📫 You can reach me with [email protected]

Lee-min's Projects

a-novel-dro-model-for-self-scheduling-problem icon a-novel-dro-model-for-self-scheduling-problem

This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

admm_release icon admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

basedata_for_aeees2021 icon basedata_for_aeees2021

This is the supporting material for paper "An Optimal Dispatching Strategy for Charging and Discharging of Electric Vehicles Based on Cloud-Edge Collaboration", which is submitted in 2021 The 3rd Asia Energy and Electrical Engineering Symposium (AEEES 2021) .

citylearn icon citylearn

CityLearn：需求响应和城市能源管理的多智能体强化学习研究标准化

ckrfories icon ckrfories

A state knowledge representation and learning framework for dynamic scheduling of integrated energy system

dual-consensus-admm-for-dc-opf-cet icon dual-consensus-admm-for-dc-opf-cet

This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow with carbon emission trading (DC-DOPF-CET) problem.

energy-sharing icon energy-sharing

考虑家庭储能的主动配电网基于产消者的能量共享机制

ffevss icon ffevss

一种重新平衡电动汽车共享系统的强化学习方法

fpga icon fpga

帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目

gpt_academic icon gpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型

hospitalbot-path-planning icon hospitalbot-path-planning

This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.

klmuc icon klmuc

"A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids "的代码，该文章《一种用于微电网单元承诺的分布稳健优化方法》提出了一种在净负荷和电力市场价格不确定性下微电网的分布稳健单元承诺方法。所提出方法的关键是利用Kullback-Leibler散度来构建概率分布的模糊集，并制定一个优化问题，以最小化模糊集中最坏情况分布带来的预期成本。该方法有效利用历史数据，利用k均值聚类算法---结合软动态时间扭曲评分---形成名义概率分布及其相关支撑。开发一种两级分解方法，以便能够有效地解决所设计的问题。进行了代表性研究，并量化了所提出方法相对于不同背离公差值下基于随机优化的模型的相对优点。

lpv icon lpv

该算法展示了一种针对电池-超级电容器（SC）混合储能系统（HESS）的鲁棒能量管理策略（EMS）。该算法专用于电动车辆应用，它基于自增益调度控制器，保证了一类线性参数变分（LPV）系统的H性能

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