Personal information

Artificial Intelligence, Machine Learning, Deep Learning, Data Analytic, Predictive Analytic
South Korea

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Employment (1)

Eindhoven University of Technology: N/A, NL

Employment
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Works (13)

Synthetic Dataset Generation for an Electricity Market Simulation Game

2024 International Conference on Smart Energy Systems and Technologies, SEST 2024
2024-10-04 | Conference paper | Author
SOURCE-WORK-ID:

72cac92f-f5cd-4c16-b8d7-cb714a75e108

EID:

2-s2.0-85207650187

Part of ISBN: 979-8-3503-8649-3
Contributors: Pyae Pyae Phyo; Koen Kok; Nikolaos G. Paterakis
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From Time-Series to Hybrid Models

Applied Sciences (Switzerland)
2024-06 | Journal article | Author
SOURCE-WORK-ID:

4e38b348-c85f-449a-93bf-385a2ed9ff6b

EID:

2-s2.0-85195999738

Contributors: Salman Ali; Santiago Bogarra; Muhammad Naveed Riaz; Pyae Pyae Phyo; David Flynn; Ahmad Taha
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Nationwide Energy and Peak Demand Forecasting

2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference, APPEEC 2023
2024-06-20 | Conference paper | Author
SOURCE-WORK-ID:

a76a89f3-564b-482e-a200-4c7c3b554330

EID:

2-s2.0-85197287193

Part of ISBN: 979-8-3503-1809-8
Contributors: Min Nyan Shwe; Pyae Pyae Phyo; Chawalit Jeenanunta
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Rule-based Classification and Outlier Replacement for Daily Electricity Load Forecasting

2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference, APPEEC 2023
2024-06-20 | Conference paper | Author
SOURCE-WORK-ID:

978b8fcc-7f3e-465d-a092-0cd1c4def1ce

EID:

2-s2.0-85197284753

Part of ISBN: 979-8-3503-1809-8
Contributors: Ei Thu Thu Tun; Pyae Pyae Phyo; Chawalit Jeenanunta
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PV Integrated Modular Multilevel Converter Based Battery Energy Storage System

12th International Conference on Renewable Power Generation, RPG 2023
2024-04-09 | Conference paper | Author
SOURCE-WORK-ID:

057a4b08-6cb6-495b-a501-7a7728dffc70

EID:

2-s2.0-85178520360

Part of ISBN: 978-1-83953-949-7
Contributors: Salman Ali; Santiago Bogarra Rodriguez; Muhammad Mansoor Khan; Asad Khan; Pyae Pyae Phyo
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Prospective Submodule Topologies for MMC-BESS and Its Control Analysis with HBSM

Electronics (Switzerland)
2023-01 | Journal article | Author
SOURCE-WORK-ID:

f17d1d7f-2dfa-4de9-92e3-8196a584107c

EID:

2-s2.0-85145943122

Contributors: Salman Ali; Santiago Bogarra; Muhammad Mansoor Khan; Ahmad Taha; Pyae Pyae Phyo; Yung Cheol Byun
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Advanced ML-Based Ensemble and Deep Learning Models for Short-Term Load Forecasting

Applied Sciences (Switzerland)
2022-05-02 | Journal article | Author
SOURCE-WORK-ID:

3060df49-d637-45b7-ad69-96f057c2bb1e

EID:

2-s2.0-85130601347

Contributors: Pyae Pyae Phyo; Chawalit Jeenanunta
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Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression

Symmetry
2022-01 | Journal article | Author
SOURCE-WORK-ID:

776af1c6-55f5-4ba1-a3d9-725dcdc9c4fc

EID:

2-s2.0-85123098519

Contributors: Pyae Pyae Phyo; Yung Cheol Byun; Namje Park
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Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network

IEEE Access
2021 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Pyae Pyae Phyo
grade
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Hybrid ensemble deep learning-based approach for time series energy prediction

Symmetry
2021-10 | Journal article | Author
SOURCE-WORK-ID:

65163070-95de-4066-be54-101997d52f46

EID:

2-s2.0-85118216229

Contributors: Pyae Pyae Phyo; Yung Cheol Byun
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Electricity Load Forecasting in Thailand Using Deep Learning Models

International Journal of Electrical and Electronic Engineering & Telecommunications
2019 | Journal article
Part of ISSN: 2319-2518
Source: Self-asserted source
Pyae Pyae Phyo
grade
Preferred source (of 2)‎

Electricity load forecasting using a deep neural network

Engineering and Applied Science Research
2019-03-31 | Journal article | Author
SOURCE-WORK-ID:

80ae2252-3643-4d15-baf7-b47c4f7e8c85

EID:

2-s2.0-85066618880

Contributors: Pyae Pyae Phyo; Chawalit Jeenanunta
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Time series outlier detection for short-term electricity load demand forecasting

International Scientific Journal of Engineering and Technology
2018-01 | Journal article | Author
SOURCE-WORK-ID:

3f4f42b3-76d8-4a0b-b45b-6a9980c6f64d

Contributors: Chawalit Jeenanunta; K. Darshana Abeyrathna; M.H.M.R. Shyamali Dilhani; Su Wutyi Hnin; Pyae Pyae Phyo
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