<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pegah Mavaie on Omanshu Thapliyal</title><link>https://omanshuthapliyal.github.io/authors/pegah-mavaie/</link><description>Recent content in Pegah Mavaie on Omanshu Thapliyal</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 15 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://omanshuthapliyal.github.io/authors/pegah-mavaie/index.xml" rel="self" type="application/rss+xml"/><item><title>Methods and Systems for Dynamic Risk Countermeasures in Networked Systems</title><link>https://omanshuthapliyal.github.io/patents/methods-and-systems-for-dynamic-risk-countermeasures-in-networked-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/methods-and-systems-for-dynamic-risk-countermeasures-in-networked-systems/</guid><description/></item><item><title>Behind-the-Meter Generation &amp; Storage for Data Centers via Interacting World Models</title><link>https://omanshuthapliyal.github.io/patents/behind-the-meter-generation-storage-for-data-centers-via-interacting-world-models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/behind-the-meter-generation-storage-for-data-centers-via-interacting-world-models/</guid><description/></item><item><title>Context-Aware Agentic AI for Alarm Summarization</title><link>https://omanshuthapliyal.github.io/patents/context-aware-agentic-ai-for-alarm-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/context-aware-agentic-ai-for-alarm-summarization/</guid><description/></item><item><title>Physical AI System and Method for World-Model-Guided Multi-Agent Coordination of Joint Adaptive Conservatism Margins in Grid-Tied and Islanded Data Center Power Dispatch with Physical Assurance Certification</title><link>https://omanshuthapliyal.github.io/patents/physical-ai-system-and-method-for-world-model-guided-multi-agent-coordination-of-joint-adaptive-conservatism-margins-in-grid-tied-and-islanded-data-center-power-dispatch-with-physical-assurance-certification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/patents/physical-ai-system-and-method-for-world-model-guided-multi-agent-coordination-of-joint-adaptive-conservatism-margins-in-grid-tied-and-islanded-data-center-power-dispatch-with-physical-assurance-certification/</guid><description/></item><item><title>Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators</title><link>https://omanshuthapliyal.github.io/papers/colocation-datacenter-customer-power-usage-forecasting-using-synthetic-data-and-integration-of-macroeconomic-indicators/</link><pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/papers/colocation-datacenter-customer-power-usage-forecasting-using-synthetic-data-and-integration-of-macroeconomic-indicators/</guid><description/></item></channel></rss>