<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Time-Series on Oscar</title>
    <link>https://dev-site.ocortez.com/topics/time-series/</link>
    <description>Recent content in Time-Series on Oscar</description>
    <generator>Hugo</generator>
    <language>en</language>
    <copyright>© Oscar Cortez 2026</copyright>
    <lastBuildDate>Wed, 17 Dec 2025 00:27:00 +0000</lastBuildDate>
    <atom:link href="https://dev-site.ocortez.com/topics/time-series/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Improving Production Forecasting Accuracy with Residual Analysis</title>
      <link>https://dev-site.ocortez.com/blog/2025-12-17-production-forecast-residuals/</link>
      <pubDate>Wed, 17 Dec 2025 00:27:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2025-12-17-production-forecast-residuals/</guid>
      <description></description>
    </item>
    <item>
      <title>Building an Oil &amp; Gas Production Forecasting App with Python, SARIMAX, and Dash</title>
      <link>https://dev-site.ocortez.com/blog/2023-02-21-production-forecasting-app/</link>
      <pubDate>Tue, 21 Feb 2023 00:00:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2023-02-21-production-forecasting-app/</guid>
      <description>A hands-on group project experience in the Data and Visual Analytics course at Georgia Tech, where we built a forecasting application for oil &amp;amp; gas production using real-world data, SARIMAX models, and modern web technologies.</description>
    </item>
  </channel>
</rss>
