Zobrazeno 1 - 10
of 591
pro vyhledávání: '"Ying‐yi Hong"'
Publikováno v:
IEEE Access, Vol 12, Pp 145079-145094 (2024)
Modern renewable power operations can be enhanced by integrating deep neural networks, particularly for forecasting solar irradiance. Recent advancements in quantum computing have shown potential improvements in classical deep neural networks. Howeve
Externí odkaz:
https://doaj.org/article/25ce4cd8855240b4807ee024cb391619
Publikováno v:
IEEE Access, Vol 12, Pp 86675-86689 (2024)
This study proposes a novel approach to address the challenges posed by the increasing number of renewable sources in power grids, particularly focusing on networked microgrids. The proposed method integrates digital twin technology and blockchain te
Externí odkaz:
https://doaj.org/article/9a8c1aea31304bfe95c1feeb95e8155d
Autor:
Ying-Yi Hong, Rolando A. Pula
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1963-1976 (2023)
The amount of energy that is generated using photovoltaic (PV) arrays has been increasing rapidly over recent years. To avoid energy and financial losses due to PV faults, numerous methods for diagnosing PV faults have been proposed. Both digital twi
Externí odkaz:
https://doaj.org/article/186fd6d1dc854eaebf364a28bd36ce33
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 156, Iss , Pp 109698- (2024)
The International Maritime Organization has introduced the concept of Emission Control Area to reduce sulfur emissions from coastal areas. The expensive low-sulfur fuels are required to be used in Emission Control Area, leading to increased sulfide e
Externí odkaz:
https://doaj.org/article/3179bbbd18c043bda105967e1bb6e555
Autor:
Ying-Yi Hong, Hao Zeng
Publikováno v:
Energies, Vol 17, Iss 15, p 3609 (2024)
A multi-area power system requires coordination to enhance reliability and reduce operating costs. Economic dispatch in such systems is crucial because of the uncertainties associated with variable loads and the increasing penetration of renewable en
Externí odkaz:
https://doaj.org/article/6dfa159682534518a313145176489f17
Publikováno v:
IEEE Access, Vol 11, Pp 140752-140762 (2023)
Diagnosing photovoltaic (PV) farms has become increasingly complex due to their large-scale presence in diverse environmental conditions. A comprehensive diagnosis process comprises four essential steps: detection, localization, classification, and r
Externí odkaz:
https://doaj.org/article/3fc4c9e869814b6ca04669a60f269520
Publikováno v:
IEEE Access, Vol 11, Pp 90811-90824 (2023)
Power scheduling by power utilities is more difficult than in the past decades because of a high penetration of renewable power generation, such as wind power generation, with highly uncertain and stochastic characteristics. To address this issue, a
Externí odkaz:
https://doaj.org/article/ff2bddae171c4acb838cbfedf2c4f66a
Publikováno v:
Judgment and Decision Making, Vol 17, Pp 1313-1333 (2022)
This study compares Chinese people’s trust and trustworthiness, risk attitude, and time preference before and after the onset of the COVID-19 pandemic in China. We compare the preferences of subjects in two online experiments with samples drawn fro
Externí odkaz:
https://doaj.org/article/36d5f376d2244f7eb97b90f1ddd9e282
Autor:
Ying-Yi Hong, Rolando A. Pula
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 5898-5929 (2022)
Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The detection, classification, and localization of such faults are
Externí odkaz:
https://doaj.org/article/e5b11d70e5534647963a52cd2c4f15eb
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1067-1090 (2022)
The high penetration of renewables has amplified errors in forecasts of wind and solar power generation that are made to support the operation of power systems. To guarantee the security and reliability of the power system, sufficient dispatchable po
Externí odkaz:
https://doaj.org/article/18977de73eed4ba88ed357bf5f65a4f6