Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
LOIS, ICM |
2024-01-26 11:00 |
Nagasaki |
Nagasaki Prefectural Art Museum (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
A Resource Management Method to provide Optical Transport Path on demand with Reduce Equipment Costs Yoshifumi Kato, Yu Miyoshi (NTT) ICM2023-36 LOIS2023-40 |
NTT research and development a broadband low-delay network service called All-Photonics Network (APN) in the IOWN concep... [more] |
ICM2023-36 LOIS2023-40 pp.45-50 |
SS, MSS |
2024-01-17 16:25 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Distributed Optimization of Energy Management Systems Considering Section Total Demands Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2023-59 SS2023-38 |
An energy management system (EMS) consists of multiple agents such as factories and buildings. In this paper, we propose... [more] |
MSS2023-59 SS2023-38 pp.40-43 |
EE, CPM, OME |
2023-12-08 15:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Power Consumption Change by Temperature Control of Air-Conditioning Equipment Tsuyoshi Nishitani, Aoi Tanaka, Kazuto Yukita, Tokimasa Goto, Katsunori Mizuno, Yasuyuki Goto (AIT) EE2023-32 CPM2023-88 OME2023-59 |
In recent years, the energy situation has been changing day by day. In this context, energy conservation is required in ... [more] |
EE2023-32 CPM2023-88 OME2023-59 pp.41-46 |
HCS |
2023-08-25 15:10 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Development of a Lecture Streaming System Using an Autostereoscopic Display with Student Characters of Various Actions Hara Seishiro, Ryoma Okazaki (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), Michiya Yamamoto (Kwansei Gakuin Univ.) HCS2023-46 |
Digital transformations in education has been progressed taking the advantage of COVID-19, however, the importance of re... [more] |
HCS2023-46 pp.19-22 |
NLP, MSS |
2023-03-16 15:45 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Distributed Optimization of Energy Management Systems with Peak Shift Constraints Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2022-90 NLP2022-135 |
An energy management system (EMS) consists of multiple agents such as factories and buildings. In this paper, we propose... [more] |
MSS2022-90 NLP2022-135 pp.132-135 |
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 |
LOIS, ICM |
2023-01-19 13:50 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
A Resource Management Method to provide Optical Transport Path on demand Yoshifumi Kato, Yu Miyoshi (NTT) ICM2022-33 LOIS2022-33 |
NTT research and development a broadband low-delay network service called All-Photonics Network (APN) in the IOWN concep... [more] |
ICM2022-33 LOIS2022-33 pp.13-18 |
MSS, SS |
2023-01-10 16:00 |
Osaka |
(Primary: On-site, Secondary: Online) |
Optimal operation planning of energy system for large-scale hydrogen plant
-- A Study of Demand Response Optimization -- Takashi Akiba (ToshibaESS), Shingo Tamaru (TISS), Fumiyuki Yamane (ToshibaESS) MSS2022-49 SS2022-34 |
Regarding the operation planning function in the hydrogen energy operation system that manages the entire FH2R facility ... [more] |
MSS2022-49 SS2022-34 pp.25-30 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-17 16:30 |
Kochi |
(Primary: On-site, Secondary: Online) |
Self-Triggered Distributed Optimization of Energy Management Systems with Demand Response Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-46 MSS2022-29 |
Energy management system consists of multiple agents such as factories and buildings. In this paper, based on the concep... [more] |
CAS2022-46 MSS2022-29 pp.47-50 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 10:30 |
Online |
Online |
Diagnosis of Demand Response: Detection of Defaulting Participants by Using Prior Knowledge Fangyuan Xu, Shun-ichi Azuma (Nagoya Univ.) RCC2021-35 |
Demand response (DR) is a mechanism provided by the aggregator to encourage participants to reduce their electricity dem... [more] |
RCC2021-35 pp.56-58 |
SIP, CAS, VLD, MSS |
2021-07-05 16:00 |
Online |
Online |
Analysis of the impact of incentive-type demand spons on consumer power saving behavior Kiyosi Suzumoto, Norihiko Sinomiya (Souka Univ) CAS2021-7 VLD2021-7 SIP2021-17 MSS2021-7 |
This study focuses on negawatt trading of incentive-type demand spawns in the electricity market. Negawatt trading uses ... [more] |
CAS2021-7 VLD2021-7 SIP2021-17 MSS2021-7 pp.31-35 |
NLP, MSS (Joint) |
2021-03-15 14:30 |
Online |
Online |
Design of Model Predictive-Based Demand Response Utilizing Price Information Masafumi Murata, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2020-46 |
In this paper, we propose a method of demand response (DR) based on model predictive control. In the authors' previous m... [more] |
MSS2020-46 pp.14-17 |
MSS, SS |
2021-01-26 13:25 |
Online |
Online |
A consumer behavior model using meteorological date in a negawatt trading market Yuto Tamura, Norihiko Shinomiya (Soka Univ.) MSS2020-30 SS2020-15 |
Negawatt trading is expected to suppress peak electrical power consumption and increase the utilization efficiency of po... [more] |
MSS2020-30 SS2020-15 pp.7-12 |
MSS, SS |
2021-01-26 14:00 |
Online |
Online |
[Invited Talk]
Blockchain-Based Distributed Optimization of Energy Management Systems
-- Integration with Demand Response -- Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-31 SS2020-16 |
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. Using... [more] |
MSS2020-31 SS2020-16 pp.13-18 |
LOIS, IPSJ-DC |
2020-07-10 14:35 |
Online |
Online |
Video delivery for media class
-- Emergency response to COVID-19 -- Yasuhiko Higaki, Shigeo Fujimoto, Koichi Takase, Yaeko Takeuchi, Yohei Matsumoto, Akiko Ikeda (Chiba Univ.), Kenichi Shimizu (Blue Link Systems), Satoshi Okada (Chiba Univ.) LOIS2020-3 |
Chiba University has been preparing for the introduction of media-facilitated classes in 2020, but its role has changed ... [more] |
LOIS2020-3 pp.1-6 |
SWIM, KBSE |
2019-05-24 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Construction of a regression analysis model of the electricity market including weather data
-- Economic analysis of price effect, energy conservation effect and social welfare effect -- Hiroyuki Ogura (Mitsubishi Electric Corp.), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) KBSE2019-2 SWIM2019-2 |
In this paper, we constructed a regression analysis model of the electricity power market including weather data, using ... [more] |
KBSE2019-2 SWIM2019-2 pp.9-16 |
CAS, ICTSSL |
2019-01-25 14:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A study on the impact of consumers' behavior for power saving on instability of negawatt power in an electricity market Yuto Tamura, Naohiro Tachibana, Norihiko Shinomiya (Soka Univ.) CAS2018-134 ICTSSL2018-53 |
In an electricity market, negawatt trading, which means a type of trading of electrical power saved by consumers, is exp... [more] |
CAS2018-134 ICTSSL2018-53 pp.87-90 |
MSS, SS |
2019-01-15 10:25 |
Okinawa |
|
A method for reducing instability of negawatt power and inequality among consumers in an electricity market Naohiro Tachibana, Ryo Hase, Norihiko Shinomiya (Soka Univ.) MSS2018-54 SS2018-25 |
Negawatt trading, which means a type of trading of electrical power saved by consumers, is expected to suppress peak pow... [more] |
MSS2018-54 SS2018-25 pp.1-6 |
MSS, SS |
2019-01-15 10:50 |
Okinawa |
|
Model Predictive Control of Dynamics in Power Consumption for Demand Response Kenta Ohashi, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2018-55 SS2018-26 |
Demand response is a method of controlling electric equipments on the customer side according to the situation of power ... [more] |
MSS2018-55 SS2018-26 pp.7-12 |
MSS, SS |
2019-01-15 11:15 |
Okinawa |
|
Design of Demand Response Based on Event-Triggered Model Predictive Control Kodai Miyazaki, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2018-56 SS2018-27 |
In design of energy management systems, aggregators such as retailers play the important role. One of the roles of aggre... [more] |
MSS2018-56 SS2018-27 pp.13-18 |