<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Research on Windomoi</title><link>https://windomoi.com/research/</link><description>Recent content in Research on Windomoi</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 05 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://windomoi.com/research/index.xml" rel="self" type="application/rss+xml"/><item><title>基于公开数据集的建筑能耗预测与可解释 AI 决策支持——一个面向 HVAC 运维场景的 MVP 实践</title><link>https://windomoi.com/research/building-energy-prediction-explainable-ai-hvac-mvp/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://windomoi.com/research/building-energy-prediction-explainable-ai-hvac-mvp/</guid><description>记录一个以公开建筑能耗数据为基础的 HVAC 运维 MVP，涵盖数据处理、多模型对比、可解释性分析与 Streamlit Demo。</description></item></channel></rss>