วันศุกร์ที่ 18 ตุลาคม 2567
Victor Club @ Sathorn Square | Bangkok
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Speakers
[Dr Marcelo H. ANG Jr]
Professor, Department of Mechanical Engineering National University of SingaporeDr. Ang, an Associate Professor in Mechanical Engineering at the National University of Singapore, is a robotics pioneer. He introduced the first programmable robotic system for ship welding and contributed to autonomous driving with the Singapore MIT Alliance for Research and Technology. He's actively involved in professional associations and committees. Dr. Ang founded the Singapore Robotics Games, advises the World Robot Olympiad, and received a 2018 Merit Award from Enterprise Singapore for his quality and standards contributions.
[Dr Chong Shin Horng]
Senior Scientist Advanced Remanufacturing and Technology Centre (ARTC)Dr Chong is a Senior Scientist at the Advanced Remanufacturing and Technology Centre (ARTC). With a distinguished Doctor of Engineering degree from Tokyo Institute of Technology, she specializes in robotics, including the development of robotic arms for EV battery maintenance. Dr. Chong's research interests encompass precision motion control, control theory, rehabilitation assistive equipment, and biomedical engineering, contributing significantly to technology and healthcare advancement.
[Li Xiaocong]
Research Scientist Singapore Institute of Manufacturing Technology (SIMTech)Dr Li Xiaocong is a Research Scientist with SIMTech. He received his BEng degree and his PhD degree from the National University of Singapore. After completing his Ph.D. under the A*STAR Graduate Scholarship (AGS), he joined SIMTech’s Mechatronics Group. He currently leads a research project on data-driven iterative tuning for commercial high-speed controller. His research interests include data-driven intelligent control and learning control with application to industrial robotics and precision machines.
[Ritesh Tekriwal]
Principal Engineer ION MobilityRitesh Tekriwal, a Principal Engineer at Ion Mobility since June 2021, leads projects and innovates solutions for electric two-wheelers.
Previously at Ather Energy, he developed smart scooter features, sensor fusion algorithms, and test data automation. Ritesh also designed a Data Logging System and contributed to features like auto-indicator cancellation.
[Ian Alferez]
Technical Software Manager VinFastIan Alferez is a seasoned Technical Software Manager at VinFast, where he brings his extensive expertise to lead and drive innovation in automotive software solutions. With a passion for cutting-edge technology and a proven track record of delivering top-notch software solutions, Ian plays a pivotal role in advancing VinFast's mission to shape the future of the automotive industry. His dedication to excellence and commitment to pushing the boundaries of software engineering make him an invaluable asset to the VinFast team.
[Alex Lo]
Group CEO TechSource Systems & Ascendas Systems GroupWith his passion in software engineering, Mr Alex Lo founded TechSource Systems in 1996, a company for distributing high-end computing software for research institutes, multinational corporations and universities in South East Asia and is the group CEO.
He also founded i-Math Pte Ltd, which distributes high-end didactics and complex analysis software tools. He also serves in his personal capacity at charitable and non-profit organizations.
[Zach Goh]
Regional Technical Manager TechSource SystemsZach is a roboticist with over a decade of experience in factory automation across industries in Asia Pacific, working with both manipulators and mobile robots. His dream is to enable robots enter the home, construction site, kitchen and other places with unstructured environments. Hence, he hopes to inspire aspiring engineers to solve tough engineering problems through cross-fertilization of ideas across multiple disciplines. Zach is an alumnus of NUS via his Bachelor’s in Computing and graduated with a Master's in Engineering from Johns Hopkins University.
[Ian Phillip Lowe]
Application Engineer TechSource SystemsIan completed his studies in the EPD Robotics Track at SUTD and subsequently transitioned into the role of Research Officer at SUTD, where he effectively managed and concluded research projects related to robotics development within ROAR Labs. Currently, Ian is employed at TechSource Systems, where he collaborates with clients from diverse industries, applying Mathworks products to address a wide range of applications.
Why Attend?
เข้าร่วมสัมมนาเพื่อเรียนรู้วิธีการจัดการข้อมูลพลังงานจาก OPC Servers และจำลองระบบ microgrid ที่ผสานกับ PV arrays และระบบกักเก็บพลังงาน(BESS) โดยครอบคลุมถึงการคาดการณ์ความต้องการพลังงาน (Load Forecasting) และการวิเคราะห์เชิงคาดการณ์(Predictive analytics)ด้วย AI รวมถึงการจัดการความเสี่ยงในตลาดพลังงาน (Energy Trading and Risk Management - ETRM) เพื่อรับมือกับความผันผวนของราคาและปริมาณพลังงาน
Benefits of Attending:
- Practical Insights: เรียนรู้จากผู้เชี่ยวชาญด้าน Renewable Energy
- Live Demos: ชมการสาธิตเกี่ยวกับการเก็บข้อมูลและการใช้ AI
- Proven Strategies: ค้นพบแนวทางและกรณีศึกษาที่ใช้ได้จริง
- Networking: สร้างเครือข่ายกับผู้เชี่ยวชาญและนักวิจัย
ใครควรเข้าร่วม??
- Energy Managers and Engineers
- Renewable Energy Consultants
- Utility and Grid Operators
- Policy Makers and Regulatory Authorities
- Academics and Researchers in Energy Systems
- Professionals interested in AI and Data Analytics applications in energy
Time | Topic |
12:30 PM |
Registration ตัวอย่าง : แบบจำลอง Microgrid ด้วยระบบการจัดการพลังงาน (Microgrid Simulation with Energy Management System (EMS) ) |
1:00 PM – 2:15 PM |
Introduction แนะนำภาพรวมของสถานการณ์ด้าน Renewable Energy โดยเน้นที่ PV arrays, Windfarm และ microgrids |
2:15 PM – 2:45 PM |
Acquiring and Managing Energy Data from OPC Servers การเก็บข้อมูลและการจัดการข้อมูลพลังงานจาก OPC Servers เรียนรู้พื้นฐานการสื่อสารด้วย OPC ในระบบ Renewable Energy Live demonstration: การเก็บข้อมูลแบบเรียลไทม์จาก OPC servers สำหรับการมอนิเตอร์และวิเคราะห์ |
2:45 PM – 3:30 PM |
Modeling and Simulating PV Array-Integrated Microgrid การทำโมเดลและการจำลอง microgrid ที่ผสานกับ PV Array สร้างโมเดล Microgrid ที่ครอบคลุม รวมถึง PV Arrays และระบบกักเก็บพลังงานด้วยแบตเตอรี่ (BESS) จำลองสถานการณ์ต่างๆ เพื่อประเมินด้านประสิทธิภาพ และความเสถียรของระบบไฟฟ้า |
3:30 PM – 4:15 PM |
AI-Driven Optimization and Predictive Analytics for Energy Systems การเพิ่มประสิทธิภาพด้วย AI และการวิเคราะห์เชิงคาดการณ์ (Predictive Analytics) สำหรับระบบพลังงาน |
4:15 PM – 5:00 PM |
Analyzing Economic Impacts in Renewable Energy Integration การวิเคราะห์ผลกระทบทางเศรษฐกิจในการผสานพลังงานหมุนเวียน ประเมินผลประโยชน์จากการผสมผสานพลังงานหมุนเวียน สำรวจกลยุทธ์การจัดการความผันผวนของราคาและความผันผวนของพลังงาน (Energy Trading and Risk Management (ETRM)) ในการซื้อขายพลังงาน (Energy Trading) |
Jiravan Mongkoltanatas (PhD)
Researcher- ENTECJiravan Mongkoltanatas, PhD is a researcher at ENTEC specializing in energy storage system design, microgrid modeling, and control systems. She holds a Ph.D. in Electrical Engineering from the University of Grenoble, along with master's and bachelor's degrees in the same field. Her work focuses on lithium-ion battery packs, battery management systems (BMS), energy storage system design, with expertise in optimization, state of charge (SoC) and state of health (SoH) modelling. With the shift to electric vehicles (EVs) and renewable energy, lithium-ion batteries are key to supporting sustainable energy solutions.
Supamith Sutharojana
Application Engineer, Team LeadSupamith is a seasoned expert in renewable energy systems, battery technologies, and microgrid optimization. He excels in model-based design, data analytics, and advanced engineering workflows, including Verification and Validation (V&V) and predictive maintenance. With a strong background in energy management and electric vehicle technologies, gained from his experience as an Engine Software Designer at a leading Japanese automotive firm, Supamith is dedicated to pioneering sustainable energy solutions and driving innovation in future-ready energy systems.
Kantika Wongkasem
Application EngineerKantika is an Application Engineer specializing in Data Science and Image Processing with MATLAB. She has expertise in Predictive Maintenance, focusing on anomaly detection, fault diagnosis, and estimating the remaining useful life of machines. Her skills also include industrial data acquisition (e.g., OPC, Modbus, other protocols), optimization, and Automatic Visual Inspection using Image Processing or AI technique. Kantika collaborates with researchers across various fields to advance machine learning and deep learning areas.