EE308 LAB1 Individual Work

invkinematic 2021-09-13 17:27:47

 

EE308 LAB1 Individual Work

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The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZ
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/600546911
The Aim of This AssignmentSelf-Introduction & Plan of EE308 Course
MU STU ID and FZU STU ID19104758_831902216

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Self-Introduction:

    My name is Chunjing Zheng, a third-year undergraduate student of Fuzhou University, majoring in Robotics and Intelligent Devices. Despites of programming, I am also addicted to musicals and philosophy, and I innate enjoying reading. 

#Skills:

  • Java,C,C++,Python.
  • I base some knowledge on Linear Algebra, Maching Learning, and Control Systems.

  Fig1. Some software I use to complete my work.

#The Amount of Code:

    Honestly, I did not count it specifically. In contrast, I suppose that the results of each project are more important than only counting the number of codes. Last semester, my team and I built a gesture-recognized blinds controller through Raspberry Pi. We used around 700 lines of python codes to complete it. 

                                           Fig2. Circuit of the gesture-recognized blinds controller project.

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Plan of EE308 Course: 

    I am willing to develop a WeChat applet and try my best to make it impeccable. In addition, the role I am going to play is a member while the course is a fitness instructor. I expect myself can master more pragmatic skills in Software Engineering.

    Thank you for reading^ ^.

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TA_KIN 2021-09-16
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Practice makes perfect. Keep trying!

invkinematic 2021-09-16
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@TA_KIN Thanks for your good comment. I appreciate the feedback and I will keep up the good work to deliver more moving forward :D
内容概要:本文档系统整合了基于MATLAB/Simulink的风力涡轮机雷达信号仿真、电力系统优化、新能源调控及多领域智能算法应用资源,涵盖风电功率平抑、混合储能协同调频、综合能源系统调度、无人机三维路径规划、电动汽车参与调度、电氢氨耦合系统优化等前沿科研方向。资源包提供大量可复现的Matlab代码、Simulink仿真模型、数据集及配套论文,涉及GWO、PSO、WOA、HHO等多种智能优化算法,以及LSTM、CNN、GRU等深度学习模型在负荷预测、故障诊断、信号处理中的应用,尤其聚焦于风电与雷达信号交互、储能功率分配、虚拟电厂运行、微电网多时间尺度优化等关键技术的仿真实现。; 适合人群:具备一定MATLAB编程基础,从事电力系统、新能源、智能优化、信号处理、雷达仿真、综合能源管理等相关领域的科研人员及研究生;工作1-3年相关方向的工程师。; 使用场景及目标:①开展风力发电系统与雷达信号交互仿真研究;②复现高水平期刊论文中的优化调度、故障诊断、功率预测模型;③进行无人机路径规划、储能系统设计、综合能源系统优化等课题研究与论文撰写;④借助成熟的代码框架快速搭建仿真模型,提升科研效率与工程实践能力。; 阅读建议:建议按主题分类浏览资源列表,优先选择标注“复现”“顶刊”“EI”等高价值项目,结合提供的网盘链接下载完整代码与数据,配合Simulink仿真模型与说明文档进行调试与二次开发,注重算法实现与实际工程问题的深度融合。

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