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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Title:
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Data-Driven Cyber-Physical Energy Systems</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Abstract: </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Cyber-Physical Systems (CPS) play an increasingly important role in the development of various fields, including smart homes, smart buildings, infrastructure, smart
cities, and smart medicine. The smart grid is a crucial part of CPS. As Distributed Solar Energy Resources (DSER) are increasingly deployed and integrated, new challenges emerge. For instance, Net meter data alone cannot profile DESR completely. The energy
sharing among DSERs is suffering low efficiency and low fairness.DSER performance models are not very accurate and cannot detect damage or degradation conditions accurately. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">In my presentation, I will introduce two open-source systems: SolarDetector and SolarTrader, developed to address these challenges. SolarDetector is designed to detect
and profile distributed solar photovoltaic arrays without incurring extra costs. Additionally, SolarTrader is an innovative, fairness-aware system specifically designed for peer-to-peer energy trading within virtual power plants (VPPs). Our research has shown
that these systems can significantly enhance the management of distributed solar arrays, benefiting utilities, government agencies, and third parties. Furthermore, they enable unsupervised, distributed, and equitable solar energy trading in residential VPPs.
Eventually, I will also share my research vision and future research plans.</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Bio:
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Qi Li is a final year Ph.D. candidate at the Colorado School of Mines CS department, where she is advised by Dr. Dong Chen. Prior to joining Mines, Qi earned her
master’s degree from Northeast University, China. Her research interest is building data-driven computer systems, which combine Data Science and Deep Learning/Machine Learning techniques with a deep understanding of the domain-specific information from CPS
systems. She has presented papers in top-tier conferences, including IoTDI'23, CNS’22, IPSN’21, IPSN’20, BuildSys’20, and IGSC’20. Also, she received recognition for the Best Paper Award at BuildSys'20. In 2023, she was selected for CPS Rising Star. She was
selected to participate in the 2024 CRA-WP Grad Cohort for Women.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<div>
<p class="MsoNormal"><span style="color:#5F5F5F">________________________________________________________________________________</span>
<span style="mso-ligatures:none"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:18.0pt;font-family:"Segoe UI",sans-serif;color:#252424">Microsoft Teams meeting</span><span style="font-family:"Segoe UI",sans-serif;color:#252424">
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Meeting ID:
</span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#252424">219 686 896 677</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><br>
</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Passcode:
</span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#252424">Xyr9up
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424"><a href="https://www.microsoft.com/en-us/microsoft-teams/download-app" target="_blank"><span style="color:#6264A7">Download Teams</span></a> |
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<span style="color:#6264A7">Join on the web</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Or call in (audio only)</span></b><span style="font-family:"Segoe UI",sans-serif;color:#252424">
<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Segoe UI",sans-serif;color:#252424"><a href="tel:+16147066572,,279964523# "><span style="font-size:10.5pt;color:#6264A7">+1 614-706-6572,,279964523#</span></a>
</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424"> United States, Columbus
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Phone Conference ID:
</span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#252424">279 964 523#
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Segoe UI",sans-serif;color:#252424"><a href="https://dialin.teams.microsoft.com/8f5f7319-0053-4423-a154-4f8b6e7fb7dd?id=279964523" target="_blank"><span style="font-size:10.5pt;color:#6264A7">Find a local number</span></a>
| <a href="https://dialin.teams.microsoft.com/usp/pstnconferencing" target="_blank">
<span style="font-size:10.5pt;color:#6264A7">Reset PIN</span></a> <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424;mso-ligatures:none"><img border="0" width="188" height="30" style="width:1.9583in;height:.3125in" id="_x0000_i1025" src="https://www.ohio.edu/sites/default/files/2018-11/invite_logo_teams.jpg"></span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">If you encounter issues with this meeting, please visit the Help link. If you are not able to resolve the problems, please contact the meeting organizer to let
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<a href="https://www.ohio.edu/oit/services/collaboration/teams/help" target="_blank">
<span style="font-size:10.5pt;color:#6264A7">Help</span></a> | <a href="https://teams.microsoft.com/meetingOptions/?organizerId=685c3f4f-29d5-4141-ada5-0fdeab8480e4&tenantId=f3308007-477c-4a70-8889-34611817c55a&threadId=19_meeting_M2UyM2NjYzAtOTMyMi00ODg4LThmOWYtZmM0ZTA0N2YwMjNm@thread.v2&messageId=0&language=en-US" target="_blank">
<span style="font-size:10.5pt;color:#6264A7">Meeting options</span></a> <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#5F5F5F">________________________________________________________________________________</span>
<o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Title:
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Data-Driven Cyber-Physical Energy Systems</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Abstract: </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Cyber-Physical Systems (CPS) play an increasingly important role in the development of various fields, including smart homes, smart buildings, infrastructure, smart
cities, and smart medicine. The smart grid is a crucial part of CPS. As Distributed Solar Energy Resources (DSER) are increasingly deployed and integrated, new challenges emerge. For instance, Net meter data alone cannot profile DESR completely. The energy
sharing among DSERs is suffering low efficiency and low fairness.DSER performance models are not very accurate and cannot detect damage or degradation conditions accurately. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">In my presentation, I will introduce two open-source systems: SolarDetector and SolarTrader, developed to address these challenges. SolarDetector is designed to detect
and profile distributed solar photovoltaic arrays without incurring extra costs. Additionally, SolarTrader is an innovative, fairness-aware system specifically designed for peer-to-peer energy trading within virtual power plants (VPPs). Our research has shown
that these systems can significantly enhance the management of distributed solar arrays, benefiting utilities, government agencies, and third parties. Furthermore, they enable unsupervised, distributed, and equitable solar energy trading in residential VPPs.
Eventually, I will also share my research vision and future research plans.</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Bio:
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Qi Li is a final year Ph.D. candidate at the Colorado School of Mines CS department, where she is advised by Dr. Dong Chen. Prior to joining Mines, Qi earned her
master’s degree from Northeast University, China. Her research interest is building data-driven computer systems, which combine Data Science and Deep Learning/Machine Learning techniques with a deep understanding of the domain-specific information from CPS
systems. She has presented papers in top-tier conferences, including IoTDI'23, CNS’22, IPSN’21, IPSN’20, BuildSys’20, and IGSC’20. Also, she received recognition for the Best Paper Award at BuildSys'20. In 2023, she was selected for CPS Rising Star. She was
selected to participate in the 2024 CRA-WP Grad Cohort for Women.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<div>
<p class="MsoNormal"><span style="color:#5F5F5F">________________________________________________________________________________</span>
<span style="mso-ligatures:none"><o:p></o:p></span></p>
</div>
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<div style="margin-top:.25in;margin-bottom:15.0pt">
<p class="MsoNormal"><span style="font-size:18.0pt;font-family:"Segoe UI",sans-serif;color:#252424">Microsoft Teams meeting</span><span style="font-family:"Segoe UI",sans-serif;color:#252424">
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Join on your computer, mobile app or room device</span></b><b><span style="font-family:"Segoe UI",sans-serif;color:#252424">
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Meeting ID:
</span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#252424">219 686 896 677</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><br>
</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Passcode:
</span><span style="font-size:12.0pt;font-family:"Segoe UI",sans-serif;color:#252424">Xyr9up
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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</span><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424"> United States, Columbus
</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Segoe UI",sans-serif;color:#252424">Phone Conference ID:
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</span><span style="font-family:"Segoe UI",sans-serif;color:#252424"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#5F5F5F">________________________________________________________________________________</span>
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