  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
  <abbrev_title>JCHCI</abbrev_title>
  <issn media_type="print">2771-1463</issn>
  <issn media_type="electronic">2771-1471</issn>
  <doi_data>
   <doi>10.54216/JCHCI</doi>
   <resource>https://www.americaspg.com/journals/show/2704</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2021</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2021</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Revolutionizing Urban Energy Landscapes: A Robust Framework for Sustainable Integration through Advanced Smart Grid Architecture</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Department of artificial intelligence and data science ,Panimalar engineering college </organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>C.</given_name>
    <surname>C.</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of artificial intelligence and data science ,Panimalar engineering college </organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Manikandan</given_name>
    <surname>..</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of artificial intelligence and data science ,Panimalar engineering college </organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>C.</given_name>
    <surname>Manikantaa</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of artificial intelligence and data science ,Panimalar engineering college </organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Dharanidharan.</given_name>
    <surname>M.</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of artificial intelligence and data science ,Panimalar engineering college</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Agnus.</given_name>
    <surname>S.</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p>A smart city coordinates resource allocation to provide a safe, efficient, and good living environment. Smooth integration of advanced technologies optimises resource consumption, notably power control. Optimizing power control includes strategically placing connected devices to optimize electricity utilisation. Intelligent urban environments need recognising this issue and solving it. Multiple solutions are needed for smart city energy optimisation. However, on-going scientific debate attempts to construct a ground-breaking intelligent grid design that can gather electricity from PV, hydro, and thermal sources. A delay-aware delivery system handles the challenging challenge of real-time energy optimisation (ECRT). Optimising energy expenditure in real time matches demand and supply. This project intends to build a smart grid that regulates electrical operations and uses sustainable energy sources. The paper focuses modelling renewable energy and improving energy distribution. We want to boost smart city energy efficiency. The hybrid smart grid proposes an effective energy resource management system that blends numerous energy production sources and real-time energy expenditure optimisation. The harmonious integration of sustainable energy sources and novel control systems improves resource allocation while being sustainable. This insightful study discusses smart energy system concepts and solutions in a technologically sophisticated city. Real-time energy optimisation and sustainable energy sources show an on-going commitment to increasing efficiency, resource utilisation, and sustainable design in intelligent urban environments.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2024</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2024</year>
  </publication_date>
  <pages>
   <first_page>35</first_page>
   <last_page>43</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/JCHCI.080104</doi>
   <resource>https://www.americaspg.com/articleinfo/25/show/2704</resource>
  </doi_data>
 </journal_article>
</journal>
