<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:mobile="http://www.google.com/schemas/sitemap-mobile/1.0" xmlns:pagemap="http://www.google.com/schemas/sitemap-pagemap/1.0" xmlns:xhtml="http://www.w3.org/1999/xhtml" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd">
  <url>
    <loc>https://canberksaner.academic.ws</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/projects</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/people</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/courses</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/posts</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/pages</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/cv</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/contact_form</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/63250-privacy-preserving-utilization-of-distribution-system-flexibility-for-enhanced-tso-dso-interoperability-a-novel-machine-learning-based-optimal-power-flow-approach</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/43853-machine-learning-driven-multi-agent-based-ac-optimal-power-flow-with-effective-dataset-creation-for-data-privacy-and-interoperability</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/57153-optimal-online-ev-charging-with-discrete-rates-and-phase-unbalance-constraints</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/43855-a-machine-learning-based-privacy-preserving-approach-to-incorporate-distributed-generators-in-ac-optimal-power-flow</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/43854-physics-informed-neural-networks-for-privacy-preserving-model-sharing-in-power-systems</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37163-a-social-welfare-theory-inspired-lexicographic-optimal-charging-scheduling-framework-for-modular-ev-fast-charging-stations</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37170-a-bilevel-programming-approach-to-model-the-charge-curve-for-ev-charging-scheduling-at-capacity-constrained-fast-charging-stations</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37164-a-multi-module-modeling-and-optimization-framework-for-integrated-planning-and-operation-of-electric-bus-shuttle-fleets</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37169-heuristic-methods-for-ev-charging-scheduling-in-fast-charging-stations-with-modular-architecture-a-comparative-analysis</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37165-a-charge-curve-and-battery-management-system-aware-optimal-charging-scheduling-framework-for-electric-vehicle-fast-charging-stations-with-heterogeneous-customer-mix</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/37167-incorporating-battery-degradation-costs-into-ev-charging-scheduling-a-neural-network-and-milp-based-approach</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15487-a-vehicle-and-charging-scheduling-framework-for-campus-shuttle-electric-buses</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15480-a-cooperative-hierarchical-multi-agent-system-for-ev-charging-scheduling-in-presence-of-multiple-charging-stations</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15486-a-milp-based-approach-to-account-for-battery-degradation-in-electric-bus-charging-scheduling</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15485-an-ev-charging-scheduling-methodology-to-reduce-demand-and-energy-charges-in-industrial-and-commercial-sites</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15488-an-ensemble-model-for-wide-area-measurement-based-transient-stability-assessment-in-power-systems</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15483-an-optimal-pmu-placement-scheme-for-early-prediction-of-transient-instabilities-in-power-systems</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15490-cost-sensitive-class-weighting-approach-for-transient-instability-prediction-using-convolutional-neural-networks</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15482-wide-area-measurement-based-transient-stability-prediction-using-long-short-term-memory-networks</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15481-improving-the-performance-of-transient-stability-prediction-using-resampling-methods</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/publications/15491-fuel-savings-in-remote-antarctic-microgrids-through-energy-management</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/pages/2567-education</loc>
  </url>
  <url>
    <loc>https://canberksaner.academic.ws/pages/2568-experience</loc>
  </url>
</urlset>
