<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>EMHASS | Mohcine Draou, PhD</title><link>https://www.mohcinedraou.com/tags/emhass/</link><atom:link href="https://www.mohcinedraou.com/tags/emhass/index.xml" rel="self" type="application/rss+xml"/><description>EMHASS</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 02 Feb 2025 00:00:00 +0000</lastBuildDate><image><url>https://www.mohcinedraou.com/media/icon_hu_645fa481986063ef.png</url><title>EMHASS</title><link>https://www.mohcinedraou.com/tags/emhass/</link></image><item><title>Enhancing Home Energy Management: A Day-Ahead Machine Learning Approach Using EMHASS for Predictive Temperature Control</title><link>https://www.mohcinedraou.com/publication/conference-paper/</link><pubDate>Sun, 02 Feb 2025 00:00:00 +0000</pubDate><guid>https://www.mohcinedraou.com/publication/conference-paper/</guid><description/></item><item><title>Nassim AI</title><link>https://www.mohcinedraou.com/project/nassimdayahead2024/</link><pubDate>Sun, 01 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.mohcinedraou.com/project/nassimdayahead2024/</guid><description>&lt;p>An approach based on machine learning (ML) algorithms is being applied to the real data generated by Nassim Home (Energy, Temperature, Water&amp;hellip;). The aim is to set up a real-time machine learning algorithm, on the basis of which future decisions can be taken.&lt;/p></description></item></channel></rss>