<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>8 on Renewable Energy Advancement Lab</title><link>https://www.li-realab.info/publication_types/8/</link><description>Recent content in 8 on Renewable Energy Advancement Lab</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Tue, 19 Jul 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://www.li-realab.info/publication_types/8/index.xml" rel="self" type="application/rss+xml"/><item><title>Synthesizing High-fidelity Time-series Sensor Signals To Facilitate Machine-learning Innovations</title><link>https://www.li-realab.info/publication/oracle/li2022synthesis/</link><pubDate>Tue, 19 Jul 2022 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2022synthesis/</guid><description/></item><item><title>Multivariate Memory Vectorization Technique to Facilitate Intelligent Caching in Time-Series Databases</title><link>https://www.li-realab.info/publication/oracle/li2020multivariate/</link><pubDate>Tue, 14 Apr 2020 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2020multivariate/</guid><description/></item><item><title>Bivariate Optimization Technique for Tuning SPRT Parameters to Facilitate Prognostic Surveillance of Sensor Data from Power Plants</title><link>https://www.li-realab.info/publication/oracle/li2020sprt/</link><pubDate>Tue, 31 Mar 2020 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2020sprt/</guid><description/></item><item><title>MSET-based Process for Certifying Provenance of Time-Series Data in a Time-Series Database</title><link>https://www.li-realab.info/publication/oracle/li2020provenance/</link><pubDate>Tue, 18 Feb 2020 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2020provenance/</guid><description/></item><item><title>Dequantizing low-resolution IOT signals to produce high-accuracy prognostic indicators</title><link>https://www.li-realab.info/publication/oracle/li2019dequantizing/</link><pubDate>Tue, 03 Dec 2019 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2019dequantizing/</guid><description/></item><item><title>Hybrid Clustering-partitioning Technique that Optimizes Accuracy and Compute Cost for Prognostic Surveillance of Sensor Data</title><link>https://www.li-realab.info/publication/oracle/li2019clustering/</link><pubDate>Sat, 12 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2019clustering/</guid><description/></item><item><title>Electric Load Forecasting Based on Smart Meter Signals</title><link>https://www.li-realab.info/publication/oracle/li2019loadshape/</link><pubDate>Tue, 04 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.li-realab.info/publication/oracle/li2019loadshape/</guid><description/></item></channel></rss>