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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : Tsuda Shunsaku : 3 programs

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Authors field exact matches “Tsuda Shunsaku”; 3 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 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		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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