<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Talks | EIES-Lab</title><link>https://chokurei.github.io/eies-lab-site/talks/</link><atom:link href="https://chokurei.github.io/eies-lab-site/talks/index.xml" rel="self" type="application/rss+xml"/><description>Talks</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2000 00:00:00 +0000</lastBuildDate><image><url>https://chokurei.github.io/eies-lab-site/media/sharing.png</url><title>Talks</title><link>https://chokurei.github.io/eies-lab-site/talks/</link></image><item><title>Spatiotemporal deep learning for rooftop PV potential</title><link>https://chokurei.github.io/eies-lab-site/talks/2026-eies-seminar-rooftop-pv/</link><pubDate>Thu, 15 Oct 2026 16:00:00 +0000</pubDate><guid>https://chokurei.github.io/eies-lab-site/talks/2026-eies-seminar-rooftop-pv/</guid><description/></item><item><title>City-scale facade solar potential through AIoT, GIS and meteorology synergy</title><link>https://chokurei.github.io/eies-lab-site/talks/2026-icae-facade-solar/</link><pubDate>Thu, 20 Aug 2026 10:30:00 +0000</pubDate><guid>https://chokurei.github.io/eies-lab-site/talks/2026-icae-facade-solar/</guid><description/></item></channel></rss>