<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rafael Benítez | INTIA</title><link>https://intia.unex.es/es/author/rafael-benitez/</link><atom:link href="https://intia.unex.es/es/author/rafael-benitez/index.xml" rel="self" type="application/rss+xml"/><description>Rafael Benítez</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>es-es</language><lastBuildDate>Sat, 01 Jun 2019 00:00:00 +0000</lastBuildDate><image><url>https://intia.unex.es/media/logo_hu_63528b04a8e745f2.png</url><title>Rafael Benítez</title><link>https://intia.unex.es/es/author/rafael-benitez/</link></image><item><title>A High-Frequency Data-Driven Machine Learning Approach for Demand Forecasting in Smart Cities</title><link>https://intia.unex.es/es/publication/preciado-2019/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0000</pubDate><guid>https://intia.unex.es/es/publication/preciado-2019/</guid><description/></item><item><title>A Short-Term Data Based Water Consumption Prediction Approach</title><link>https://intia.unex.es/es/publication/energies-2019/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0000</pubDate><guid>https://intia.unex.es/es/publication/energies-2019/</guid><description/></item></channel></rss>