Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Somchat Jiriwibhakorn"'
Publikováno v:
IEEE Access, Vol 12, Pp 132352-132368 (2024)
The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations. This paper presented two approaches using an A
Externí odkaz:
https://doaj.org/article/04e3c9d340e94e62a2a8988acf3f50b0
Autor:
Shazia Kanwal, Somchat Jiriwibhakorn
Publikováno v:
IEEE Access, Vol 12, Pp 49017-49033 (2024)
Electric systems are getting more complex with time, and primitive protection methods such as traveling wave and impedance-based methods face limitations and shortcomings. This paper incorporates and presents the applications of an adaptive neuro-fuz
Externí odkaz:
https://doaj.org/article/3a310a9d2ceb4779a76ee6d2875bc7ef
Autor:
Somchat Jiriwibhakorn
Publikováno v:
IEEE Access, Vol 11, Pp 142100-142110 (2023)
An adaptive neuro-fuzzy inference system (ANFIS) is a hybrid algorithm composed of fuzzy logic and an artificial neural network. It takes advantage of fuzzy logic and artificial neural networks to solve complex problems. For power transmission, sever
Externí odkaz:
https://doaj.org/article/84901e5c95d540c3a4ff7f56747de4e7
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 14:1023-1032
Publikováno v:
International journal of simulation: systems, science & technology.
Publikováno v:
International journal of simulation: systems, science & technology.
Publikováno v:
2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST).
This paper used artificial neural networks (ANN) in medium-term energy forecasting for the Metropolitan Electricity Authority (MEA) area of Bangkok, Thailand. This method could improve the electricity load efficiency of the MEA. Moreover, The combine
Publikováno v:
2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST).
This paper continues to develop the previous paper on Application Data for Electricity Load Forecasting Models by applying the method to the geographic information system (GIS) technology in medium-term energy forecasting for the Metropolitan Electri
Publikováno v:
International Review of Electrical Engineering (IREE). 15:283
This paper presents the different techniques for Thailand's medium-term load forecasting. It expected that load forecasting can effectively improve the electrical load efficiency of the Electricity Generating Authority of Thailand (EGAT). In addition
Publikováno v:
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents an approach called adaptive neuro-fuzzy inference system for the transient stability assessment by considering contingency conditions of networks. The contingency condition herein means a case of transmission outage and network co