著者
伊藤 雅一
出版者
地域社会学会
雑誌
地域社会学会年報 (ISSN:21893918)
巻号頁・発行日
vol.29, pp.89-102, 2017 (Released:2018-05-14)
参考文献数
18

This study explains the process of community formation through a shopping street union. I conducted a case study of the activities of a shopping street union. The data for the study were obtained through fieldwork and interviews conducted at the Sengen shopping street in the Inage Ward, Chiba City. In particular, my research focused on the Inage Akari Festival, Yotoboshi. I analyzed perspectives at three levels: (1) actions of shopkeepers who are the main members of the Yotoboshi executiv (actor level), (2) the relationship between various community groups and the shopping street union through the Yotoboshi management (group level), and (3) changing evaluations from outside the community through social policy and media (structure level). The following factors can be drawn with respect to the three points of view: (1) actor level: the time of the changing generation of shopkeepers in Inage shopping street promoting union, two inspection tours inspiring the union to know the role of the community actors, and understanding the Inage Akari Festival, Yotoboshi through collaboration between the university student group and the shopping street union, (2) group level: collaboration between several community groups and the shopping street union for the management of the festival and the achievement of the meaning of the festival as a community through collaboration and formation of multiple layers of members in the festival executive committee (residents in Inage area, groups of activity based in Inage area, and voluntary participation from outside the Inage area); (3) structure level: positive evaluations for community formed by various media and social policies, and reflexive internalization of the evaluation by core members of the festival’s executive committee (in particular, shopkeepers in the union). These factors contribute to regional and community studies by clarifying the process of community formation function through a shopping street union. Furthermore, these conclusions are key in studying the local commercial function that depends on the shopping street unions in Japan.
著者
兌 瀟偉 伊藤 雅一 藤本 悠 林 泰弘 朱 桂萍 姚 良忠
出版者
一般社団法人 電気学会
雑誌
電気学会論文誌B(電力・エネルギー部門誌) (ISSN:03854213)
巻号頁・発行日
vol.139, no.3, pp.212-224, 2019-03-01 (Released:2019-03-01)
参考文献数
34
被引用文献数
3

With the increase of wind power penetration in power system, the uncertainty caused by wind farm forecast error is enlarged which results in deterioration of wind power curtailment. In order to optimize the capacity of battery storage for mitigating forecast error, firstly it is necessary to improve the accuracy of forecast error model. This paper proposed a modeling method of forecast error time series in usage of beta distribution. Varying with forecast output, parameters of the beta distribution are estimated by maximum likelihood estimation. Autocorrelated forecast error obeying beta distribution is generated by correlated Monto-Carlo simulation. Based on the forecast error model, an optimization method is proposed to determine the optimum size of battery storage for mitigating forecast error. Through maximizing the total profit composed of electricity sales revenue, penalty and battery cost, the optimum size of battery storage is calculated. The results show that the forecast error model proposed in this paper is able to simulate both probability density function and autocorrelation correctly, which is beneficial to improving the accuracy and economy of battery storage sizing.