<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>期刊论文 | 铁锤子课题组</title><link>https://hammer-group.github.io/tags/%E6%9C%9F%E5%88%8A%E8%AE%BA%E6%96%87/</link><atom:link href="https://hammer-group.github.io/tags/%E6%9C%9F%E5%88%8A%E8%AE%BA%E6%96%87/index.xml" rel="self" type="application/rss+xml"/><description>期刊论文</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 23 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://hammer-group.github.io/media/logo_hu6196673022348379158.png</url><title>期刊论文</title><link>https://hammer-group.github.io/tags/%E6%9C%9F%E5%88%8A%E8%AE%BA%E6%96%87/</link></image><item><title>恭喜王豫等同学在《中国电力》期刊发表研究论文</title><link>https://hammer-group.github.io/post/post20260323/</link><pubDate>Mon, 23 Mar 2026 00:00:00 +0000</pubDate><guid>https://hammer-group.github.io/post/post20260323/</guid><description>&lt;p>近期，我组围绕港口绿色低碳运行问题，在期刊《中国电力》发表论文“面向综合能源系统低碳运行的港口泊位-岸桥协同调度优化模型”。针对港口作业系统与能源系统协调不足，岸桥连续作业特性未充分刻画和跨周期任务如何衔接等问题，将泊位分配、岸桥作业、电动集卡和岸上能源系统，包括风光可再生能源等因素纳入优化框架，引入了船舶停靠超时惩罚约束，岸桥连续编号约束以及跨周期装卸量结算，使得模型更加贴近港口运行实际场景。实现了港口物流调度和综合能源系统的耦合研究。
&lt;a href="https://kns.cnki.net/kcms2/article/abstract?v=Vs3rztogjcUxAHMiNOs1wpCfy2LZrFqiB_PnqSLiFgKhG2NGkn-4Td5mBoVw82s2ifI8EKlBEalJSTGTIUIL8fz35Cv4JiqhHORz1qsUfF1_sFumNawZEihVdxuX2N8Hv_GlKNcS1EWEMA8heXdrBw1hM3W7IvtSftH-yJOlPkw=&amp;amp;uniplatform=NZKPT" target="_blank" rel="noopener">🔗 点击查看论文&lt;/a>&lt;/p></description></item><item><title>恭喜刘鑫等同学在一区TOP期刊《Reliability Engineering &amp; System Safety》发表研究论文</title><link>https://hammer-group.github.io/post/post20250922/</link><pubDate>Mon, 22 Sep 2025 00:00:00 +0000</pubDate><guid>https://hammer-group.github.io/post/post20250922/</guid><description>&lt;p>论文题目为&amp;quot;Multi-scenario robust stochastic programming based distributed energy resources allocation in distribution networks: Balancing economic efficiency and resilience&amp;quot;，围绕配电网中分布式能源配置问题，研究了兼顾经济性与韧性的多场景鲁棒随机优化方法。
&lt;a href="https://www.sciencedirect.com/science/article/abs/pii/S0951832025009494" target="_blank" rel="noopener">🔗 点击查看论文&lt;/a>&lt;/p></description></item></channel></rss>