<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects on David Schulte</title><link>https://davidschulte.github.io/projects/</link><description>Recent content in Projects on David Schulte</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 08 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://davidschulte.github.io/projects/index.xml" rel="self" type="application/rss+xml"/><item><title>Customer return predictions</title><link>https://davidschulte.github.io/projects/proj-returnpredictions/</link><pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate><guid>https://davidschulte.github.io/projects/proj-returnpredictions/</guid><description>&lt;h2 id="motivation"&gt;Motivation&lt;/h2&gt;&#10;&lt;p&gt;Return rates in E-commerce are significantly higher than in retail.&#10;Especially when buying clothes online, customers expect free return&#10;shipping. This comes with immense economic as well as ecological&#10;costs.&lt;br&gt;&#10;Therefore, online retailers are interested in predicting customer&#10;returns at the time of their order. This enables them to better plan&#10;ahead. It also creates the possibility to subtly nudge users to not&#10;order a specific item they will return with a high probability.&lt;/p&gt;</description></item><item><title>Monitoring of the Cryptocurrency Transaction Graph</title><link>https://davidschulte.github.io/projects/proj-cryptomonitoring/</link><pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate><guid>https://davidschulte.github.io/projects/proj-cryptomonitoring/</guid><description>&lt;h2 id="motivation"&gt;Motivation&lt;/h2&gt;&#10;&lt;p&gt;In recent years, cryptocurrencies made their way into the mainstream.&#10;Their decentralized ungoverned nature made them attractive to people&#10;that were unsatisfied with the current financial system. Their extreme&#10;growth of value made them attractive to investors. Their volatility made&#10;them attractive to speculators. Their anonymity made them attractive to&#10;criminals.&lt;br&gt;&#10;How anonymous and decentralized the most prominent cryptocurrency&#10;bitcoin really is, was being researched resulting in surprising results.&#10;You can read more about it in the Section &lt;strong&gt;Further Research&lt;/strong&gt; down&#10;below.&lt;/p&gt;</description></item><item><title>Reinforcement Learning for 3-player Chinese Checkers</title><link>https://davidschulte.github.io/projects/proj-alphathesis/</link><pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate><guid>https://davidschulte.github.io/projects/proj-alphathesis/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;&#10;&lt;h3 id="motivation"&gt;Motivation&lt;/h3&gt;&#10;&lt;p&gt;Like for many aspiring Machine Learning enthusiasts, the development of&#10;AlphaZero could be described as the one event that made me sure, this is&#10;the right field for me. I was curious how a program can learn such&#10;sophisticated tactics in several domains just by playing against itself.&#10;I researched the design of its algorithm and was fascinated by it, I&#10;decided to dedicate my Bachelor&amp;rsquo;s thesis to experimenting with it.&lt;br&gt;&#10;The program is designed for learning a strategy for two-player zero-sum&#10;games. But what would happen, if we break this assumption?&lt;/p&gt;</description></item><item><title>Solar Forecasting</title><link>https://davidschulte.github.io/projects/proj-solarforecasting/</link><pubDate>Tue, 01 Mar 2022 00:00:00 +0000</pubDate><guid>https://davidschulte.github.io/projects/proj-solarforecasting/</guid><description>&lt;h2 id="motivation"&gt;Motivation&lt;/h2&gt;&#10;&lt;p&gt;Solar energy is one of the fundaments of our transition toward green&#10;energy. With all its advantages over other power sources, solar energy&#10;has one drawback that complicates its use: It only gets generated when&#10;it&amp;rsquo;s sunny. To utilize an efficient mix of energy sources, it is&#10;important to forecast their availability in the future.&lt;/p&gt;&#10;&lt;h2 id="data"&gt;Data&lt;/h2&gt;&#10;&lt;p&gt;The data used is the daily solar power generation in Germany by its four&#10;network operators (50Hertz, Amprion, Tennet and Transnet BW). The data&#10;is provided by Fraunhofer Institute for Solar Energy Systems ISE and is&#10;publicly available on &lt;a href="https://energy-charts.info/"&gt;Energy-Charts&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>