As the introduction of renewable energy such as solar photovoltaic power generation continues to expand year by year with the background of increased environmental awareness, how to operate power generation facilities and storage equipment (ESS) in the plant under varying weather conditions is an issue for power consumers. In this project, Mitsubishi Heavy Industries, Ltd. (MHI) developed a system that predicts the amount of power generation of renewable energy with prediction technology utilizing machine learning to derive charge and discharge guidance for ESS from the results. This system was verified by the power management department of our plant to extract the necessary functions and interfaces for users who manage facilities and evaluate the effectiveness of the system. We will continue to improve the functions and promote preparations to provide our external customers with the expertise obtained from the research in our plant to contribute to the effective use of renewable energy by our customers.
