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Mpipatta.github.io

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/learn @mpipatta/Mpipatta.github.io
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0/100

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Universal

README

Manisa Pipattanasomporn, Ph.D.

Manisa Pipattanasomporn is an associate professor of Smart Grid Research Unit (SGRU) at Chulalongkorn University, THAILAND and an adjunct faculty at Virginia Tech – Advanced Research Institute, USA. Since 2006, Dr. Pipattanasomporn has been working at Virginia Tech’s Department of Electrical and Computer Engineering, and from 2019, she has joined Smart Grid Research Unit at Chulalongkorn University, THAILAND, as a research associate professor with the aim to develop an IoT-based smart campus. Her research interests include smart grid, smart home, smart building, demand response, renewable energy integration, electric vehicles, Internet of Things (IoT), machine learning with particular applications on energy savings, building-level load forecasting and blockchain for peer-to-peer trading of solar electricity. She is also a guest lecturer at the International School of Engineering (ISE), Information and Communication Engineering (ICE), teaching students on IoT-related topics.<br>

Google scholar Page: GoogleScholar<br> Email: mpipatta@vt.edu and manisa.pip@chula.ac.th

See my tutorials about building data analytics here (under development).

Education

  • Ph.D., Electrical Engineering, Virginia Polytechnic Institute and State University, USA 2004<br>
  • M.S., Energy Economics and Planning, Asian Institute of Technology, THAILAND, 2001<br>
  • B.S., Electrical Engineering, Chulalongkorn University, THAILAND, 1999<br>

Appointments

  • Research Associate Professor, Smart Grid Research Unit (SGRU), Department of Electrical Engineering, Chulalongkorn University, THAILAND, 2019 – Present<br>
  • Adjunct Faculty, Virginia Tech, USA 2018 – Present<br>
  • Associate Professor of Electrical and Computer Engineering, Virginia Tech, USA 2017 – 2018<br>
  • Adjunct Faculty, Virginia Tech, USA 2016 – 2017<br>
  • Associate Professor of Electrical and Computer Engineering, Virginia Tech, USA 2013 – 2016<br>
  • Assistant Professor of Electrical and Computer Engineering, Virginia Tech, USA 2006 – 2013<br>

Publications: Journal Papers

2020

2019

2018

2017

2016

2015

  • M. Kuzlu, M. Pipattanasomporn and S. Rahman, “Impacts of House Sizes, Appliance Ratings and Usage Patterns on Demand Response Applications: A Case-based Study,” Intelligent Industrial Systems, Vol. 1, Iss. 4, pp. 345-357, Dec 2015.
  • H. Bitaraf, S. Rahman and M. Pipattanasomporn, “Sizing Energy Storage to Mitigate Wind Power Forecast Error Impacts by Signal Processing Techniques,” IEEE Transactions on Sustainable Energy, Vol. 6, No. 4, pp. 1457-1465, Oct 2015.
  • D. Bian, M. Pipattanasomporn, and S. Rahman, “A Human Expert-Based Approach to Electrical Peak Demand Management,” IEEE Transactions on Power Delivery, vol.30, Iss.3, pp.1119-1127. June 2015.
  • A. Saha, M. Kuzlu, M. Pipattanasomporn, S. Rahman, O. Elma, U. S. Selamogullari, M. Uzunoglu and B. Yagcitekin, “A Robust Building Energy Management Algorithm Validated in a Smart House Environment,” Intelligent Industrial Systems, May 2015.
  • R. Hebner, F. Uriarte, A. Kwasinski, A. Gattozzi, H. Estes, A. Anwar, P. Cairoli, R. Dougal, X. Feng, H.M. Chou, L. Thomas, M. Pipattanasomporn, S. Rahman, F. Katiraei, M. Steurer, O. Faruque, M. Rios, G. Ramos, M. Mousavi and T. Mccoy, “Technical cross-fertilization between terrestrial microgrids and ship power systems,” Journal of Modern Power Systems and Clean Energy, pp. 1-19, May 2015.
  • W. Khamphanchai, M. Pipattanasomporn, M. Kuzlu, J. Zhang, and S. Rahma
View on GitHub
GitHub Stars10
CategoryDevelopment
Updated2y ago
Forks11

Languages

Jupyter Notebook

Security Score

55/100

Audited on Jun 29, 2023

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