Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Phisan Kaewprapha"'
Publikováno v:
Energies, Vol 16, Iss 23, p 7775 (2023)
Conventional generation maintenance scheduling (GMS) is a solution to increase the reliability of power systems and minimize the operation and maintenance costs paid by generation companies (GenCos). Nonetheless, environmental aspects, such as zero c
Externí odkaz:
https://doaj.org/article/80861b1788ff44f08e076deb64c44f09
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 12, Pp 1787-1797 (2021)
Abstract Generation maintenance scheduling (GMS) is an important factor that can improve the reliability of power systems and decrease revenue achieved by generation companies (GenCos). Several GMS models, therefore, are based on these two crucial va
Externí odkaz:
https://doaj.org/article/a916be9b113c46b5ae1514b01143830e
Publikováno v:
Engineering and Applied Science Research, Vol 45, Iss 3, Pp 203-211 (2018)
Accurate monthly rainfall forecasting is essential for efficient watershed management, particularly for the current situation with high variation of rainfall due to global climate change. A variety of researchers attempted to develop more sophisticat
Externí odkaz:
https://doaj.org/article/5b06d90787d44ecb9038e123dc4836e9
Publikováno v:
2023 International Electrical Engineering Congress (iEECON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39420c415e9917d8510bd2084cf599d
https://doi.org/10.1109/ieecon56657.2023.10127081
https://doi.org/10.1109/ieecon56657.2023.10127081
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 12, Pp 1787-1797 (2021)
Generation maintenance scheduling (GMS) is an important factor that can improve the reliability of power systems and decrease revenue achieved by generation companies (GenCos). Several GMS models, therefore, are based on these two crucial values. Non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720b5881c3a532e92412309ea0c5a98c
https://doi.org/10.1049/gtd2.12134
https://doi.org/10.1049/gtd2.12134
Autor:
Phisan Kaewprapha, Pradya Prempaneerach, Vishakha Singh, Trilot Tinikul, Nutty Intarangsi, Taweesak Kijkanjanarat
Publikováno v:
2022 7th International Conference on Computer and Communication Systems (ICCCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cecca31e4a44b0ef8fcaddecac25e88
https://doi.org/10.1109/icccs55155.2022.9846118
https://doi.org/10.1109/icccs55155.2022.9846118
Publikováno v:
2022 International Electrical Engineering Congress (iEECON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7479736f53e39c6e76932fb0700b7504
https://doi.org/10.1109/ieecon53204.2022.9741611
https://doi.org/10.1109/ieecon53204.2022.9741611
Publikováno v:
2021 9th International Electrical Engineering Congress (iEECON).
In the beverage manufacturing industry - the process of closing and sealing the bottle caps by an automated machine could cause defects due to imperfect equipment alignment. Small businesses rely on humans as a means to perform quality control, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb83006a924b2e0cb6d95d5ddb6d3442
https://doi.org/10.1109/ieecon51072.2021.9440326
https://doi.org/10.1109/ieecon51072.2021.9440326
Publikováno v:
ECTI Transactions on Computer and Information Technology (ECTI-CIT). 11:1-9
We consider a network localization problem by modeling this as a unit disk graph where nodes are randomly placed with uniform distribution in an area.The connectivity between nodes is defined when the distances fall within a unit range. Under a condi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ec249f8ef496528adb4de3edf17c28
https://doi.org/10.37936/ecti-cit.2017111.64982
https://doi.org/10.37936/ecti-cit.2017111.64982
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030263539
ICSI (2)
ICSI (2)
In this paper, we investigated the capability of artificial intelligence using one of the advanced convolutional neural networks (CNN) called inception-v3 model to forecast leveling of daily rainfall. The input of this model were the satellite images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393cd0afb7615e91bca1ac63f06dc6dc
https://doi.org/10.1007/978-3-030-26354-6_10
https://doi.org/10.1007/978-3-030-26354-6_10
