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Manisa Pipattanasomporn

Manisa Pipattanasomporn

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
10332
World Ranking
6032
National Ranking
12

Overview

Manisa Pipattanasomporn is affiliated with Chulalongkorn University in Thailand and conducts research primarily in the fields of Engineering and Computer Science. Their work spans several subfields including Electrical and Electronic Engineering, Building and Construction, Information Systems, Computer Vision and Pattern Recognition, and Global and Planetary Change.

The scientist's research topics cover a range of areas related to energy systems and computational methods. These include:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Building Energy and Comfort Optimization
  • Blockchain Technology Applications and Security
  • Smart Grid Security and Resilience
  • Electricity Theft Detection Techniques
  • Image and Signal Denoising Methods

Some of the recent papers authored or co-authored by Manisa Pipattanasomporn are:

  • "Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks," 2020, Applied Energy
  • "CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets," 2020, Scientific Data
  • "Data-driven short-term natural gas demand forecasting with machine learning techniques," 2021, Journal of Petroleum Science and Engineering
  • "Cybersecure and scalable, token-based renewable energy certificate framework using blockchain-enabled trading platform," 2022, Electrical Engineering
  • "Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network," 2021, The Journal of Engineering

Manisa Pipattanasomporn frequently collaborates with several researchers. Notable co-authors include:

  • Murat Kuzlu
  • Ümit Cali
  • Onur Elma
  • Vinayak Sharma
  • Ramesh Reddi

The scientist has published in multiple venues, with a recurrent presence in:

  • arXiv (Cornell University)
  • Applied Energy
  • Scientific Data
  • Journal of Petroleum Science and Engineering
  • Electrical Engineering

Best Publications

  • Multi-agent systems in a distributed smart grid: Design and implementation

    M. Pipattanasomporn;H. Feroze;S. Rahman

  • An Algorithm for Intelligent Home Energy Management and Demand Response Analysis

    M. Pipattanasomporn;M. Kuzlu;S. Rahman

  • Communication network requirements for major smart grid applications in HAN, NAN and WAN

    Murat Kuzlu;Manisa Pipattanasomporn;Saifur Rahman

  • Grid Integration of Electric Vehicles and Demand Response With Customer Choice

    Shengnan Shao;M. Pipattanasomporn;S. Rahman

  • Challenges of PHEV penetration to the residential distribution network

    Shengnan Shao;Manisa Pipattanasomporn;Saifur Rahman

  • Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

    Mengmeng Cai;Manisa Pipattanasomporn;Saifur Rahman

  • Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles

    Shengnan Shao;M. Pipattanasomporn;S. Rahman

  • Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities

    Manisa Pipattanasomporn;Murat Kuzlu;Saifur Rahman;Yonael Teklu

  • Development of physical-based demand response-enabled residential load models

    Shengnan Shao;Manisa Pipattanasomporn;Saifur Rahman

  • Impact of TOU rates on distribution load shapes in a smart grid with PHEV penetration

    Shengnan Shao;Tianshu Zhang;Manisa Pipattanasomporn;Saifur Rahman

  • Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

    Shibani Ghosh;Saifur Rahman;Manisa Pipattanasomporn

  • Performance Analysis of a Hyperledger Fabric Blockchain Framework: Throughput, Latency and Scalability

    Murat Kuzlu;Manisa Pipattanasomporn;Levent Gurses;Saifur Rahman

  • Hardware Demonstration of a Home Energy Management System for Demand Response Applications

    M. Kuzlu;M. Pipattanasomporn;S. Rahman

  • Implications of on-site distributed generation for commercial/industrial facilities

    M. Pipattanasomporn;M. Willingham;S. Rahman

  • Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks

    Gopal Chitalia;Gopal Chitalia;Manisa Pipattanasomporn;Manisa Pipattanasomporn;Vishal Garg;Saifur Rahman

  • Intelligent Distributed Autonomous Power Systems (IDAPS)

    S. Rahman;M. Pipattanasomporn;Y. Teklu

  • Comparative analysis of auction mechanisms and bidding strategies for P2P solar transactive energy markets

    Jason Lin;Manisa Pipattanasomporn;Manisa Pipattanasomporn;Saifur Rahman

  • Assessment of communication technologies and network requirements for different smart grid applications

    M. Kuzlu;M. Pipattanasomporn

  • An energy management model to study energy and peak power savings from PV and storage in demand responsive buildings

    Fakeha Sehar;Manisa Pipattanasomporn;Saifur Rahman

  • Flywheel Energy Storage Systems for Ride-through Applications in a Facility Microgrid

    R. Arghandeh;M. Pipattanasomporn;S. Rahman

  • Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance

    D. Bian;M. Kuzlu;M. Pipattanasomporn;S. Rahman

Frequent Co-Authors

Saifur Rahman
Saifur Rahman Virginia Tech
Yi Tang
Yi Tang Nanyang Technological University
Mehmet Uzunoglu
Mehmet Uzunoglu Yıldız Technical University
Roger A. Dougal
Roger A. Dougal University of South Carolina
Michael Steurer
Michael Steurer Florida State University
Weerakorn Ongsakul
Weerakorn Ongsakul Asian Institute of Technology

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