<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Demand Forecasting on C.CUI's Log</title><link>https://cuicaihao.github.io/zh/tags/demand-forecasting/</link><description>Recent content in Demand Forecasting on C.CUI's Log</description><generator>Hugo</generator><language>zh-Hans</language><lastBuildDate>Thu, 01 Oct 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/zh/tags/demand-forecasting/index.xml" rel="self" type="application/rss+xml"/><item><title>用 Prophet 做零售需求预测：从模型原理到工程实践</title><link>https://cuicaihao.github.io/zh/posts/2026-10-01-prophet-retail-demand-forecast/</link><pubDate>Thu, 01 Oct 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-10-01-prophet-retail-demand-forecast/</guid><description>从一条销量记录出发，理解 Prophet 如何构造输入、估计参数并计算未来预测。本文结合墨尔本秋冬食品的 VIC 零售合成数据，重建预测，验证先验与超参数设置，诊断模型误差，再比较树模型与神经网络及生产部署边界。</description></item></channel></rss>