Xinbo Geng

Xinbo Geng

Workday Trading Analyst
Weekend Researcher
electricity/market/optimization
reading, thinking and writing

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Datasets for Demand-related Studies

less than 1 minute read

Published:

This post summarizes a collection of power system datasets for demand-related studies such as demand response (DR) and non-intrusive load monitoring (NILM).

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

portfolio

publications

Energy coupon: A mean field game perspective on demand response in smart grids

Published in ACM SIGMETRICS Performance Evaluation Review, 2015

Load Serving Entity (LSE) trying to reduce its exposure to electricity market volatility by sending coupons and lotteries to its customers for demand shifting.

Recommended citation: [bib file] Li, Jian, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay Subramanian, and Le Xie. "Energy coupon: A mean field game perspective on demand response in smart grids." ACM SIGMETRICS Performance Evaluation Review 43, no. 1 (2015): 455-456. https://dl.acm.org/citation.cfm?id=2745890

A control system framework for privacy preserving demand response of thermal inertial loads

Published in 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2015

Three questions for Load Serving Entities (LSEs): how to control the total demand of a set of loads, and also what to control it to, all while respecting constraints on load states, as well as maintaining privacy of load states.

Recommended citation: [bib file] Haider, Abhishek, Xinbo Geng, Gaurav Sharma, Le Xie, and P. R. Kumar. "A control system framework for privacy preserving demand response of thermal inertial loads." In Smart Grid Communications (SmartGridComm), 2015 IEEE International Conference on, pp. 181-186. IEEE, 2015. https://ieeexplore.ieee.org/abstract/document/7436297/

Architecture and Algorithms for Privacy Preserving Thermal Inertial Load Management by a Load Serving Entity

Published in IEEE Transactions on Power Systems ( Volume: 32 , Issue: 4 , July 2017 ), 2016

(1) Understanding the geometric and structural properties of the Economic Dispatch probem; (2) Learning the underlying structure from electricity market data.

Recommended citation: [bib file] Halder, Abhishek, Xinbo Geng, P. R. Kumar, and Le Xie. "Architecture and algorithms for privacy preserving thermal inertial load management by a load serving entity." IEEE Transactions on Power Systems 32, no. 4 (2017): 3275-3286. https://ieeexplore.ieee.org/abstract/document/7742416

Learning the LMP-Load Coupling From Data: A Support Vector Machine Based Approach

Published in IEEE Transactions on Power Systems ( Volume: 32, Issue: 2, March 2017), 2017

(1) Understanding the geometric and structural properties of the Economic Dispatch probem; (2) Learning the underlying structure from electricity market data.

Recommended citation: [bib file] Geng, Xinbo, and Le Xie. "Learning the LMP-load coupling from data: A support vector machine based approach." IEEE Transactions on Power Systems 32, no. 2 (2017): 1127-1138. https://ieeexplore.ieee.org/abstract/document/7478156/

Voltage security constrained look-ahead coordination of reactive power support devices with high renewables

Published in 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP), 2017

A Look-ahead (MPC-like) version of the optimal reactive power dispatch problem (LA-ORPD).

Recommended citation: [bib file] Geng, Xinbo, Le Xie, and Diran Obadina. "Voltage security constrained look-ahead coordination of reactive power support devices with high renewables." In Intelligent System Application to Power Systems (ISAP), 2017 19th International Conference on, pp. 1-6. IEEE, 2017. https://ieeexplore.ieee.org/abstract/document/8071416/

An Enhanced Transmission Operating Guide Creation Framework Using Machine Learning Techniques

Published in 2018 IEEE Power & Energy Society General Meeting (PESGM) , 2018

Automate the process of Creating Transmission Operating Guide by Machine Learning Techiniques. Internship at ISO New England.

Recommended citation: [bib file] Zhao, Jinye, Slava Maslennikov, Eugene Litvinov, and Xinbo Geng. "An Enhanced Transmission Operating Guide Creation Framework Using Machine Learning Techniques." In 2018 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5. IEEE, 2018. https://ieeexplore.ieee.org/abstract/document/8586056

Published in , 1900

Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads

Published in the 2019 Hawaii International Conference on System Sciences (HICSS-52), 2019

Enhance the traditional phase balancing problem (in distribution systems) using robust optimization and look-ahead (MPC-like) operations.

Recommended citation: [bib file] Geng, Xinbo, Swati Gupta, and Le Xie. "Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads." In Hawaii International Conference on System Sciences 2019 (HICSS-52), 2019. https://scholarspace.manoa.hawaii.edu/handle/10125/59790

talks

teaching

ECEN689: Data Sciences in Modern Power Systems, Fall 2015

Teaching Assistant, Department of Electrical and Computer Engineering, Texas A&M University, 2015

  • Basic Statistical/Machine Learning, Time Series Analysis and System Identification
  • With Applications in Power Systems
  • First time the course taught at Texas A&M University
  • about 50 graduate students in the course
  • (My Role) Teaching Assistant
    • Course design, materials (e.g. slides, homeworks, exams) preparation and homeworks grading;
    • Guest Lectures

ECEN 415/715 Physical and Economical Operations of Sustainable Energy Systems, Spring 2019

Instructor, Department of Electrical and Computer Engineering, Texas A&M University, 2019

  • This course introduce operational issues for sustainable electric energy systems.
  • The first part of the course will introduce basic engineering, optimization and economic concepts relevant to this course.
  • The second part of the course will discuss the “modular” view of individual electric energy processing components (e.g., variable generation, flexible demands).
  • The third part of this course will physical and market operations in electricity industry in support of sustainable energy integration.
  • Computer simulations and demos will be available for students to create and evaluate examples of power systems.
  • Syllabus: ECEN 415, ECEN 715.
  • (My Role) An instructor of the course
    • Graduate Teaching Fellow
    • Materials Preparation, Lectures, Homeworks