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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, WBS, RCC 2023-12-21
09:50
Okinawa
(Primary: On-site, Secondary: Online)
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting and Delivery Delays
Ryo Matsuoka, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) WBS2023-32 ITS2023-15 RCC2023-26
In this paper, we consider an online pickup and delivery problem. Online optimization is to solve the pickup and deliver... [more] WBS2023-32 ITS2023-15 RCC2023-26
pp.25-30
NLP, MSS 2023-03-16
16:05
Nagasaki
(Primary: On-site, Secondary: Online)
Online Optimization of Pickup and Delivery Problem Considering Demand Forecasting
Ryo Matsuoka, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2022-91 NLP2022-136
In this paper, we consider an online pickup and delivery problem. Online optimization is to solve the pickup and deliver... [more] MSS2022-91 NLP2022-136
pp.136-139
LOIS 2023-03-13
15:30
Okinawa
(Primary: On-site, Secondary: Online)
Proposal of emergency demand forecasting method based on population projection data by age using large-scale emergency data
Masaki Kaneda, Sinan Chen, Masahide Nakamura (Kobe Univ), Sachio Saiki (Kochi Univ of Technology of) LOIS2022-54
In recent years, Japan is facing a super-aging society, which has a wide range of impacts. In particular, the tightness ... [more] LOIS2022-54
pp.59-65
EE, WPT
(Joint)
2022-10-06
11:50
Osaka
(Primary: On-site, Secondary: Online)
Demonstration Study of Multi-use of Battery Energy Storage Systems by Robust Control -- Accuracy Evaluation of Demand and Power Generation Predictions --
Miki Ueshima, Kazufumi Yuasa, Yoshiharu Takeuchi, Tadatoshi Babasaki (NTT FACILITIES), Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi (NAIST) EE2022-18
This paper presents an overview of a demonstration study of the multiple use of battery energy storage systems, which ai... [more] EE2022-18
pp.21-24
SWIM 2021-11-27
14:10
Online Online Studies of maximum electricity forecasting model including electricity market price -- Time series analysis with extra regressors added --
Hiroyuki Ogura (Nihon Univ.), Shunsuke Managi (Kyushu Univ.) SWIM2021-27
As one of the solutions to the difficult problem of achieving both stable electricity supply and decarbonization, improv... [more] SWIM2021-27
pp.7-14
MSS, SS 2019-01-15
15:55
Okinawa   [Invited Talk] Electricity Demand Forecasting by Machine Learning -- Potential of Utilizing Numerical Weather Prediction by Machine Learning --
Hiromasa Shin, Yoshiaki Shiga, Mitsuru Kakimoto (Toshiba) MSS2018-64 SS2018-35
An accurate electricity demand forecasting is indispensable for economical operation of power system. We have been devel... [more] MSS2018-64 SS2018-35
pp.55-56
PRMU, CNR 2017-02-18
12:10
Hokkaido   Acceptability Evaluation of Schedule Change for Peak Cut of Electric Power
Masaki Igarashi, Atsushi Shimada, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2016-161 CNR2016-28
We construct a system for peak cut of power consumption by utilizing various sensing data such as personal power consump... [more] PRMU2016-161 CNR2016-28
pp.53-56
LOIS 2013-03-07
13:40
Okinawa   Development of a Robust Choice Model for Demand Forecasting under Fluctuant Situations
Marina Fujita, Ken Kawamoto, Toshiko Aizono, Koji Ara (Hitachi) LOIS2012-79
In this research, the robust demand forecasting method in retailers under the situations which new products are introduc... [more] LOIS2012-79
pp.59-64
IN 2012-04-12
13:30
Kyoto Kyotofu-Chusho-Kigyo-Kaikan Forecasting individual trends using resolution adaptive arima
Hiroki Nakayama, Shingo Ata, Ikuo Oka (Osaka City Univ.) IN2012-1
Analyzing and predicting the time series of traffic trends is important in the perspective of network operation and mana... [more] IN2012-1
pp.1-6
NLP, CAS 2006-10-04
16:45
Osaka   Application of Chaos and Fractal to Nonlinear Forecasting -- Power Demand in Liberalization of Electricity Markets --
Atsushi Tsujimoto, Shunji Kawamoto (Osaka Prefecture Univ.)
First, the algorithm for chaotic time series without the accumulation of inevitable round-off errors caused by
numeric... [more]
CAS2006-31 NLP2006-54
pp.61-66
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