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pro vyhledávání: '"Shunnosuke Ikeda"'
Publikováno v:
Operations Research Perspectives, Vol 11, Iss , Pp 100290- (2023)
This paper is concerned with prescriptive price optimization, which integrates machine learning models into price optimization to maximize future revenues or profits of multiple items. The prescriptive price optimization requires accurate demand fore
Externí odkaz:
https://doaj.org/article/75cf0d8c4ee4415f9994e23e39e12a4d
Publikováno v:
Transactions of the Institute of Systems, Control and Information Engineers. 33:229-241
Autor:
Hiromitsu Ohmori, Shunnosuke Ikeda
Publikováno v:
International Journal of Electrical and Electronic Engineering & Telecommunications.. :96-102
Publikováno v:
2018 SICE International Symposium on Control Systems (SICE ISCS).
The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inapprop
Autor:
Shunnosuke Ikeda, Hiromitsu Ohmori
Publikováno v:
2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
In recent years, photovoltaic (PV) penetration has significantly increased in distribution networks. In the future, it will be more and more important to predict how much and where PV will be installed. Existing agent-based PV diffusion models just c