In 2016, the retail of electricity sales has been completely liberalized in Japan. It has been getting more important for retailers to predict the energy consumption of customers. However, it is very complex to predict the energy consumption accurately because there are uncertainties and many factors to be considered. This paper proposes a methodology to design of electricity procurement plan considering uncertainties of energy consumption. Using K-Means clustering methodology, we found that there are some patterns in electricity consumption. In this methodology, electricity consumptions are classified into these patterns with temperature data. In a case study, we evaluate the usefulness of the methodology for design of procurement plan.

Ship performance monitoring technology which is able to detect the change of ship performance is being developed in shipbuilding field. Although this technology has a possibility of enabling to set appropriate maintenance period, the ways of setting rule and evaluating economic value are not established. In this study, the way of maximizing the economic value of the fouling monitoring technology for ship hull and propeller is proposed, considering options of the maintenance rule. In order to set optimal maintenance rule, simulation was conducted considering maritime market, meteorology and operation.