Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pyae-Pyae Phyo"'
Autor:
Pyae-Pyae Phyo, Chawalit Jeenanunta
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4882 (2022)
Short-term load forecasting (STLF) plays a pivotal role in the electricity industry because it helps reduce, generate, and operate costs by balancing supply and demand. Recently, the challenge in STLF has been the load variation that occurs in each p
Externí odkaz:
https://doaj.org/article/0c43a496e6b645bc99fcafa1724124c1
Publikováno v:
Symmetry, Vol 14, Iss 1, p 160 (2022)
Meeting the required amount of energy between supply and demand is indispensable for energy manufacturers. Accordingly, electric industries have paid attention to short-term energy forecasting to assist their management system. This paper firstly com
Externí odkaz:
https://doaj.org/article/cd8d08080ead42b2852b82c1ae221ff5
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4442 (2024)
This review paper is a foundational resource for power distribution and management decisions, thoroughly examining short-term load forecasting (STLF) models within power systems. The study categorizes these models into three groups: statistical appro
Externí odkaz:
https://doaj.org/article/5aa6dd8000604218aa519d70271fcca1
Autor:
Salman Ali, Santiago Bogarra, Muhammad Mansooor Khan, Ahmad Taha, Pyae Pyae Phyo, Yung-Cheol Byun
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 20
Battery energy storage systems and multilevel converters are the most essential constituents of modern medium voltage networks. In this regard, the modular multilevel converter offers numerous advantages over other multilevel converters. The key feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a886165e4c1df7b0503bab22abd06202
Autor:
Pyae Pyae Phyo, Chawalit Jeenanunta
Publikováno v:
IEEE Access, Vol 9, Pp 152226-152242 (2021)
The next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the Classification and Regression Tree (CART) with pruning conditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a47fa8e9b559429f04370ae35e8ca57a
https://ieeexplore.ieee.org/document/9611228/
https://ieeexplore.ieee.org/document/9611228/
Autor:
Yung-Cheol Byun, Pyae Pyae Phyo
Publikováno v:
Symmetry, Vol 13, Iss 1942, p 1942 (2021)
Symmetry; Volume 13; Issue 10; Pages: 1942
Symmetry; Volume 13; Issue 10; Pages: 1942
The energy manufacturers are required to produce an accurate amount of energy by meeting the energy requirements at the end-user side. Consequently, energy prediction becomes an essential role in the electric industrial zone. In this paper, we propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1de055e4d828c366241925937d90550
https://www.mdpi.com/2073-8994/13/10/1942
https://www.mdpi.com/2073-8994/13/10/1942
Autor:
Pyae Pyae Phyo, Chawalit Jeenanunta
Publikováno v:
Engineering and Applied Science Research, Vol 46, Iss 1, Pp 10-17 (2019)
Forecasting the daily load demandofan electric utility provideris a complex problem as it is nonlinear andinfluenced byexternal factors. Deep learning, machine learning and artificial intelligence techniques have been successfully employed in electri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec0f4de3bfcb11c17e43d28ec9179cc6
https://www.tci-thaijo.org/index.php/easr/article/view/116025/128513
https://www.tci-thaijo.org/index.php/easr/article/view/116025/128513
Publikováno v:
International Journal of Electrical and Electronic Engineering & Telecommunications. :221-225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9601b9cf30d8349e8af45dbbc2ee0b38
https://doi.org/10.18178/ijeetc.8.4.221-225
https://doi.org/10.18178/ijeetc.8.4.221-225
Autor:
Pyae Pyae Phyo, Yung-Cheol Byun
Publikováno v:
Symmetry, Vol 13, Iss 10, p 1942 (2021)
The energy manufacturers are required to produce an accurate amount of energy by meeting the energy requirements at the end-user side. Consequently, energy prediction becomes an essential role in the electric industrial zone. In this paper, we propos
Externí odkaz:
https://doaj.org/article/efc996b5b76d42c38a5873c97dc2e15d