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Showing papers by "Hiroshi Morita published in 2017"


Journal ArticleDOI
TL;DR: An improved two-stage heuristic algorithm to cope with uncertain demands and departure times of EVs is developed, and the effect of the smart charge and discharge scheduling of EVs on a peak load reduction in a building energy management system is evaluated.
Abstract: Electric vehicles (EVs) are becoming an attractive alternative to gasoline vehicles owing to the increase of greenhouse gas emissions and gasoline prices. EVs are also expected to function as battery storages for stabilizing large fluctuations in the power grid through the vehicle-to-grid power system, which requires smart charge and discharge scheduling algorithms. In this paper, we develop a linear programming based heuristic algorithm on a time–space network model for charge and discharge scheduling of EVs. We also develop an improved two-stage heuristic algorithm to cope with uncertain demands and departure times of EVs, and evaluate the effect of the smart charge and discharge scheduling of EVs on a peak load reduction in a building energy management system.

75 citations


Proceedings ArticleDOI
01 Jul 2017
TL;DR: Statistics-based methodology is used to identify correlations among the occupancy classifications, emergency response, and population density in Bangladesh and indicates that the level of satisfaction regarding disaster management is fairly low with respect to emergency response and medical care.
Abstract: A massive earthquake has been forecast for Bangladesh in the near future due to its position at the junction of three continental plates. Should it occur, the earthquake is expected to be devastating, particularly in the capital city of Dhaka, due to the large number of high-rise buildings constructed on relatively unstable ground and the high population density of the metropolitan area. In this paper, we use statistics-based methodology to identify correlations among the occupancy classifications, emergency response, and population density. Multiple regression analysis indicates that the level of satisfaction regarding disaster management is fairly low with respect to emergency response and medical care.

3 citations