Shore Power System Load Forecasting Model Based on QPSO-LSTM Network
Jijian Tong, Yayu Yang, Xiaoyan Xu, Genge Zhang, Feng. Yuan, Guang. Xiang, Kangan Wang · 2024
Connecting the ships to the shore power system during berthing can reduce fuel consumption, thereby holding significance in environmental preservation. With the promotion of the shore power system, there is an urgent requirement to tackle the shore power system load forecasting. This paper presents a model for shore power system load forecasting based on the QPSO-LSTM network. Subsequently, the case analysis of load forecasting is executed utilizing the proposed model. To validate the effectiveness, the predictive performance of the proposed model is compared with other classic models. The test result shows that the proposed model has small error, with a high level of predictive effectiveness. This investigation could offer a guidance for shore power system planning.