Case Representation and Adaptation for Short-Term Load Forecasting at a Container Terminal

The electricity consumption of a terminal is mainly related to the number of container movements and the weather of each day. With the introduction of electric mobility for heavy duty container carriers at a seaport container terminal short-term load forecasting gains an important part in the procurement process. This paper describes a case-based approach to the forecasting of the electricity consumption time-series of the following day based on historical consumption load curves. It mainly focuses on the case representation which is based on a daily view on the so-called sailing list that is used to plan terminal operations and the adaptation processes that are applied to the time-series after case retrieval. The evaluation of the approach shows some promising first re-