Events under 'Education'
Monday, December 05, 2022

Education

Event Name

Date

LIVE Online Tutorial Transactive Energy Systems: Overview, Theory, Tool, Application, and Trend, Session 3

Posted:
15 Dec 2019
Chair:
Haiwang Zhong
Session Type:
Webinar
Page/Slide Count:
Time: 01:20:00
Recently, Transactive Energy Systems (TES) have gained great interest in the Power and Energy community. TES optimizes the operation of distributed energy resources (DERs) through market-based transactions between participants. The underlying transactive coordination and control (TC2) incorporates the economic concepts and principles into the decision making and controller design of individual market participants, and uses value, in particular, price as the control signal to coordinate and achieve their distinct objectives. It shares the advantages of both direct load control and price responsive control. However, because TES is a newly emerging concept, it is still mysterious to the power community. In this tutorial, pioneering TES researchers will give lectures to demystify TES from different aspects including theory, tool and application.
Friday, May 08, 2020 11:00 am - 12:20 pm
This event does not repeat

LIVE Online Tutorial Transactive Energy Systems: Overview, Theory, Tool, Application, and Trend, Session 4

Posted:
15 Dec 2019
Chair:
Koen Kok
Session Type:
Webinar
Page/Slide Count:
Time: 01:20:00
Recently, Transactive Energy Systems (TES) have gained great interest in the Power and Energy community. TES optimizes the operation of distributed energy resources (DERs) through market-based transactions between participants. The underlying transactive coordination and control (TC2) incorporates the economic concepts and principles into the decision making and controller design of individual market participants, and uses value, in particular, price as the control signal to coordinate and achieve their distinct objectives. It shares the advantages of both direct load control and price responsive control. However, because TES is a newly emerging concept, it is still mysterious to the power community. In this tutorial, pioneering TES researchers will give lectures to demystify TES from different aspects including theory, tool and application.
Wednesday, May 13, 2020 1:00 pm - 2:20 pm
This event does not repeat

Live Tutorial - Introduction to Artificial Intelligence and Machine Learning, Session 1: Fundamentals and Selected Applications

Date:  Tuesday, January 19, 2021

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Tuesday, January 19, 2021 3:00 pm - 5:00 pm
This event does not repeat

Live Tutorial - Introduction to Machine Learning, Session 2: Fundamental Algorithms on Concept Learning with Data Mining Applications

Date:  Tuesday, January 26, 2021

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Tuesday, January 26, 2021 3:00 pm - 5:00 pm
This event does not repeat

Live Tutorial - Introduction to Artificial Neural Networks, Session 3: Structure, Theory, and Example Applications

Date:  Tuesday, February 2, 2021

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Tuesday, February 02, 2021 3:00 pm - 5:00 pm
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Live Tutorial - Introduction to Genetic Algorithms, Session 4: Structure, Theory, and Example Applications

Date:  Tuesday, February 9, 2021

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Tuesday, February 09, 2021 3:00 pm - 5:00 pm
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Live Tutorial - NI4AI Workshop on PMU and Time Series Data Analysis at Scale, Session 1: Introduction to PMU data and applications

Date: Tuesday, February 23, 2021

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Tuesday, February 23, 2021 6:00 pm - 8:00 pm
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Live Tutorial - Mathematical Optimization in Active Power Distribution Systems Session 1: Fundamentals

Date:  Tuesday, February 24, 2021

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Wednesday, February 24, 2021 6:00 pm - 8:00 pm
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Live Tutorial - NI4AI Workshop on PMU and Time Series Data Analysis at Scale, Session 2: Artificial Intelligence and the Grid

Date: Tuesday, February 25, 2021

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Thursday, February 25, 2021 6:00 pm - 8:00 pm
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Live Tutorial - Mathematical Optimization in Active Power Distribution Systems Session 2: Applications

Date: Tuesday, February 26, 2021

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Friday, February 26, 2021 6:00 pm - 8:00 pm
This event does not repeat

Live Tutorial Battery Safety for Utilities Session 1- Understanding the compliance requirements

Join us for this Live Tutorial Web-event on July 8, 10 am EST

 

If you take the time to do research on stationary batteries, you will find articles on over 100 stationary battery fires that completely destroyed the facilities. Having been involved in the review of 40 of them, there are things that can be done to reduce the possibility of fires.

IEEE, NFPA and others have created a robust set of compliance standards that can reduce the risk of fire, and create installations that are fairly safe. Lessons learned from these situations can further reduce the danger to fire fighters, workers, and the neighborhood.

Each Kilowatt hour stored in the system is approximately 1 kilogram of TNT energy potential, how you design and specify your storage system is the difference in safe that system is.

Thursday, July 08, 2021 10:00 am - 12:00 pm
This event does not repeat

Battery Safety for Utilities Session 2: Going Beyond Compliance – Lessons Learned and Tips for Being Safe

Join us for this live tutorial web-event, July 9, 10 am EST

 

If you take the time to do research on stationary batteries, you will find articles on over 100 stationary battery fires that completely destroyed the facilities. Having been involved in the review of 40 of them, there are things that can be done to reduce the possibility of fires.

IEEE, NFPA and others have created a robust set of compliance standards that can reduce the risk of fire, and create installations that are fairly safe. Lessons learned from these situations can further reduce the danger to fire fighters, workers, and the neighborhood.
Each Kilowatt hour stored in the system is approximately 1 kilogram of TNT energy potential, how you design and specify your storage system is the difference in safe that system is.
Friday, July 09, 2021 10:00 am - 12:00 pm
This event does not repeat

Distributed Optimization for Electric Power Systems, Session 1: Needs and Use Cases

Click here to register-
https://bit.ly/3HNfpxl

Use Cases and Research Needs for Distributed Optimization in Power Systems, Classifications of Distributed Optimization Algorithms, Applications of Distributed Optimization to Volt/Var Control, Proximal Atomic Coordination Algorithms for Distributed Optimization. The rapid growth of distributed energy resources (e.g., solar PV, batteries, electric vehicle charging, etc.) motivate the transition from centralized to distributed computations to cooperatively control these devices such that network efficiency and reliability are maximized. Distributed optimization algorithms provide a number of potential advantages over centralized computations, including scalability via parallel computations, robustness to failure of individual computing agents, and data privacy. Accordingly, both academics and industry are looking towards distributed optimization algorithms to complement existing centralized computations through various use cases, such as volt/var control, solving optimal power flow, and managing retail electricity markets. To realize the potential advantages of distributed optimization, researchers have proposed various distributed optimization algorithms for these use cases, each with different advantages and disadvantages. This tutorial reviews various use cases for distributed optimization, presents illustrative examples of several solution algorithms, and discusses current limitations and future research needs.
Tuesday, March 01, 2022 11:00 am - 1:00 pm
This event does not repeat

Distributed Optimization for Electric Power Systems, Session 2: Performance Improvement and Path Forward

Click here to register-
https://bit.ly/3BcYNww

Applications of Machine Learning to Improve Distributed Optimization Algorithms for Power Systems, Computing solutions for Distributed Optimization, Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communications, Outlook for Distributed Optimization Algorithms. The rapid growth of distributed energy resources (e.g., solar PV, batteries, electric vehicle charging, etc.) motivate the transition from centralized to distributed computations to cooperatively control these devices such that network efficiency and reliability are maximized. Distributed optimization algorithms provide a number of potential advantages over centralized computations, including scalability via parallel computations, robustness to failure of individual computing agents, and data privacy. Accordingly, both academics and industry are looking towards distributed optimization algorithms to complement existing centralized computations through various use cases, such as volt/var control, solving optimal power flow, and managing retail electricity markets. To realize the potential advantages of distributed optimization, researchers have proposed various distributed optimization algorithms for these use cases, each with different advantages and disadvantages. This tutorial reviews various use cases for distributed optimization, presents illustrative examples of several solution algorithms, and discusses current limitations and future research needs.
Wednesday, March 02, 2022 11:00 am - 1:00 pm
This event does not repeat

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