优快云 Blog Login Bug

作者在使用优快云博客时遇到登录问题,按步骤创建文章页面会自动跳转,登录提示密码错误,提交邮件找回密码也无反应。向管理员反馈无果后,重置优快云密码问题解决。原因可能是老用户社区与博客未关联,新用户则无此问题。

This is my first article in 优快云, I name the title as "优快云 Blog Login Bug" because of the procedure I try to use the 优快云 Blog.

Actually, I got a 优快云 community username for a long time, maybe not such long as u think. It gives me a big help during my study and practise Java to use the 优快云 community.  

A couple weeks ago, I decided to use the blog to express my words about the IT skills I am insterested. However, when I follow the steps to create my article, I cannot do that. Everytime the page automatically jumps to my Blog Home Page. When I try to login my blog, the system always mentioned I inputed a wrong password. The fact is that I never set the password for my blog. And when I submited the "send password by email to me", nothing happened. That's strange.

Finally, I wrote my situation to the web master, but no one replied to me.

Last week, I thought I can change my 优快云 password, and see if the blog is available for me. When I did that, I found it worked out.

I think the reason is that I am an old user, and at that time, the 优快云 never associated the community with the blog, there may be 2 DB for each of them.  I got the community username and password, and I got the blog automatically, but never got a password for it.

When I reseted password, the system updated all the infomation and everything went well.

For the 优快云 new users, there won't be this issue. They will get a unique username and password for all the 优快云 field.

基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究(Matlab代码实现)内容概要:本文围绕“基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究”,介绍了利用Matlab代码实现配电网可靠性的仿真分析方法。重点采用序贯蒙特卡洛模拟法对配电网进行长时间段的状态抽样与统计,通过模拟系统元件的故障与修复过程,评估配电网的关键可靠性指标,如系统停电频率、停电持续时间、负荷点可靠性等。该方法能够有效处理复杂网络结构与设备时序特性,提升评估精度,适用于含分布式电源、电动汽车等新型负荷接入的现代配电网。文中提供了完整的Matlab实现代码与案例分析,便于复现和扩展应用。; 适合人群:具备电力系统基础知识和Matlab编程能力的高校研究生、科研人员及电力行业技术人员,尤其适合从事配电网规划、运行与可靠性分析相关工作的人员; 使用场景及目标:①掌握序贯蒙特卡洛模拟法在电力系统可靠性评估中的基本原理与实现流程;②学习如何通过Matlab构建配电网仿真模型并进行状态转移模拟;③应用于含新能源接入的复杂配电网可靠性定量评估与优化设计; 阅读建议:建议结合文中提供的Matlab代码逐段调试运行,理解状态抽样、故障判断、修复逻辑及指标统计的具体实现方式,同时可扩展至不同网络结构或加入更多不确定性因素进行深化研究。
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