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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : Sergei Manzhos : 7 programs

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Authors field exact matches “Sergei Manzhos”; 7 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 1
9:00– 9:20		FA101Short term electricity demand forecasting from high dimensional data on microgrid with gradient boosting decision tree model
(Tokyo Tech) *(Stu)Lee Hyojae, (Stu)Tsuda Shunsaku, (Stu)Iijima Taiki, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
Electrical demand forecasting
microgrid
high dimensional data
ST-22226
Day 1
9:20– 9:40		FA102Refining the Potential of Photovoltaic Power Generation in the Distribution Region and Evaluating the Impact of Photovoltaic Power Generation Using an Economic Optimization Model
(Tokyo Tech) *(Stu)Oya Masashi, (Reg)Hamasaki Hiroshi, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
Energy simulation
Photovoltaics
Electricity distribution
ST-22561
Day 1
9:40– 10:00		FA103Optimal design of renewable hydrogen refueling stations with fuel cells considering electricity procurement from electric power exchanges
(Tokyo Tech) *(Stu)Okubo Tatsuya, (ENEOS) (Cor)Harada Kosuke, (Cor)Takami Hirohumi, (Tokyo Tech) (Reg)Sergei Manzhos, (Reg)Ihara Manabu
Hydrogen refueling station
Fuel cell
Optimization
ST-22122
Day 3
9:00– 10:30		PA311Optimal design of building-scale distributed hydrogen energy storage systems for realizing low-carbonization and high economic efficiency
(Tokyo Tech) *(Stu)Shirakura Sayaka, (Stu)Okubo Tatsuya, (Toshiba) Matsuoka Kei, (Toshiba ESS) (Reg)Matsunaga Kentaro, (Cor)Sato Junichi, (Tokyo Tech) (Reg)Manzhos Sergei, (Reg)Ihara Manabu
hydrogen
microgrid
optimization
ST-23243
Day 3
9:00– 10:30		PA313Study and analysis of clustering methods for high-dimensional "Energy Data" for building power forecasting models
(Tokyo Tech) *(Stu)Iijima Taiki, (Stu)Lee Hyojae, (Stu)Tsuda Shunsaku, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
energy system
machine learning
data science
ST-23544
Day 3
10:30– 12:00		PA310Application of Neural Network Model for Valence Bond Method Calculation for Proton Conductor
(Tokyo Tech) *(Stu)Ariga Takaaki, (Stu)Kameda Keisuke, Ito Kazuma, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
solid oxide fuel cell
valence bond method
machine learning
ST-23228
Day 3
10:30– 12:00		PA312Analysis of high-dimensional energy data and application of regression models toward generalized electricity demand forecasting
(Tokyo Tech) *(Stu)Tsuda Shunsaku, (Stu)Okubo Tatsuya, (Stu)Lee Hyojae, (Stu)Iijima Taiki, (Stu)Otoshi Natsuki, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
energy system
machine learning
data science
ST-23265

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SCEJ 53rd Autumn Meeting (Nagano, 2022)

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