Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yoshiakira Akimoto"'
Publikováno v:
Electrical Engineering in Japan. 115:18-32
The aim of transmission expansion planning is to determine which right-of-way to use when constructing new lines in order to meet a forecasted load in the most economical way. This problem has been solved previously by mathematical sensitivity analys
Publikováno v:
IEEJ Transactions on Power and Energy. 114:1029-1037
Publikováno v:
International Journal of Electrical Power & Energy Systems. 14:336-340
The use of distributed systems is expected to realize characteristics of flexibility, high modularity, ease of development, high-speed processing and cost performance in several fields. Distributed systems on parallel or distributed computers are stu
Publikováno v:
Proceedings. Joint International Power Conference Athens Power Tech.
Publikováno v:
[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.
The paper presents an artificial neural network (ANN) approach using ART2 (Adaptive Resonance Theory 2) to a diagnostic system for gas insulated switchgear (GIS). To begin with, the authors show the background of abnormality diagnosis of GISs from th
Autor:
T. Haida, Yoshiakira Akimoto
Publikováno v:
Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.
The authors consider the use of genetic algorithms as a measure of voltage optimization of electric power system. Genetic algorithms are optimization and learning techniques based on natural selection and natural population genetics. A formation of a
Publikováno v:
Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.
The authors present an artificial neural network (ANN) approach to a diagnostic system for a gas insulated switchgear (GIS). Firstly they survey the status of operational experience of failures in GISs and its diagnostic techniques. Secondly, they pr
Learning an input and output relationship, given an example of data, can be regarded as an approximation of a mapping function from input to output. In this point of view, we propose a neural network architecture using sampling functions as hidden un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07b371c860726d077c3dc6d5751aefd8
https://doi.org/10.1016/b978-0-444-89178-5.50188-3
https://doi.org/10.1016/b978-0-444-89178-5.50188-3
Publikováno v:
International Journal of Electrical Power & Energy Systems. 1:166-174
A digitalized control system with simultaneous data sampling has been developed to provide protection and control for power systems. The system architecture is characterized by a measuring scheme of source data through a digital potential and current
Autor:
Takahiko Yamamoto, Hiroshi Hosokawa, Toshiaki Sakaguchi, Takashi Yoshida, Yoshiakira Akimoto, Syogo Nishida
Publikováno v:
IEEJ Transactions on Power and Energy. 98:79-86