Smart Energy Solutions: When Industry Meets Academia
As an event to celebrate IEEE PES Day 2024, this initiative will cooperate with Cardinal Operations to hold a technical seminar at Xi'an Jiaotong University (XJTU) for PES members in Xi'an, China. The event invites industry and academic professionals to deliver keynote speeches regarding optimizer COPT & its applications in power sector, transportation electrification, co-optimization of power grid and transportation network. Three honored guests representing XJTU School of Electrical Engineering, IEEE PES China Chapters Council, and IEEE PES Xi'an Chapter, are also invited to deliver welcome speeches.
The theme of the initiative is Smart Energy Solutions: When Industry Meets Academia, which is consistent with the 7th edition of IEEE PES Day on the theme Empowering Electric Mobility Innovation. Through keynote speeches, interactive sessions, and discussions, the event aims to foster innovation and advancements in the academy and industry, while also promoting the PES's mission to be the leading provider of scientific and engineering information on electric power and energy for the betterment of society.
Session Highlights:
- Introduction to domestic solver COPT
- Implementation practice of COPT in power engineering
- Innovation in intelligent solutions for price-based demand response
- Planning and operation of coupled power-transportation network
Speaker 1: Prof. Lingyu Zhu (Deputy Dean, School of Electrical Enginnering, Xi’an Jiaotong University)
Speaker 2: Assoc. Prof. Haiwang Zhong (Deputy Secretary-General, IEEE PES China Chapters Council)
Speaker 3: Assoc. Prof. Chengcheng Shao (Secretary, IEEE PES Xi’an Chapter)
Speaker 4: Keye Wang (Algorithm Engineer, Electric Power Cluster, Cardinal Operations)
Speaker 5: Dr. Tao Qian (Lecturer, School of Electrical Engineering, Southeast University)
Speaker 6: Ke Li (Ph.D. Candidate, School of Electrical Engineering, Xi’an Jiaotong University)
Moderator: Siyuan Sun (Chair, IEEE PES SBC Xi'an Jiaotong University)
Date: 23 Apr 2024
Time: 20:00 - 21:30 (GMT+8)
Platform: Tencent (VooV) Meeting
Webinar Link: https://meeting.tencent.com/dm/BQuk1gcSyGf4
Language: Mandarin
Date and Time
Location
Hosts
Registration
- Date: 23 Apr 2024
- Time: 12:00 PM UTC to 01:30 PM UTC
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- Co-sponsored by Cardinal Operations
Speakers
Keye Wang of Cardinal Operations
Implementation Practice of Domestic Solver COPT in Power Engineering Scenarios
Biography:
Keye Wang is an Algorithm Engineer in Electric Power Cluster with Cardinal Operations.
Dr. Tao Qian of Southeast University
Demand Response Pricing Strategy Based on Offline Reinforcement Learning
Biography:
Dr. Tao Qian is a Lecturer with the School of Electrical Engineering, Southeast University.
Ke Li of Xi’an Jiaotong University
Planning and Operation of Urban Coupled Power-Transportation System with Large-Scale Electric Vehicle Integration
Biography:
Ke Li is a Ph.D. Candidate with the School of Electrical Engineering, Xi’an Jiaotong University.
Agenda
- 8:00 PM to 8:05 PM: Welcome Speech by Prof. Lingyu Zhu (Deputy Dean, School of Electrical Enginnering, Xi’an Jiaotong University).
- 8:05 PM to 8:10 PM: Welcome Speech by Assoc. Prof. Haiwang Zhong (Deputy Secretary-General, IEEE PES China Chapters Council).
- 8:10 PM to 8:15 PM: Welcome Speech by Assoc. Prof. Chengcheng Shao (Secretary, IEEE PES Xi’an Chapter).
- 8:15 PM: Group Photo.
- 8:15 PM to 8:40 PM: Keynote Speech titled "Implementation Practice of Domestic Solver COPT in Power Engineering Scenarios" by Keye Wang (Algorithm Engineer, Electric Power Cluster, Cardinal Operations).
- 8:40 PM to 9:05 PM: Keynote Speech titled "Demand Response Pricing Strategy Based on Offline Reinforcement Learning" by Dr. Tao Qian (Lecturer, School of Electrical Engineering, Southeast University).
- 9:05 PM to 9:20 PM: Keynote Speech titled "Planning and Operation of Urban Coupled Power-Transportation System with Large-Scale Electric Vehicle Integration" by Ke Li (Ph.D. Candidate, School of Electrical Engineering, Xi’an Jiaotong University).
- 9:20 PM to 9:30 PM: Q&A.
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