使用深度学习模型预测釜山新港未来的电力消耗

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2023-06-01 DOI:10.1016/j.ajsl.2023.04.001
Geunsub Kim , Gunwoo Lee , Seunghyun An , Joowon Lee
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引用次数: 0

摘要

随着智能环保技术和设备被引入海港行业,电力消耗预计将迅速增加。然而,关于制定港口电力管理计划,特别是与电力消耗预测有关的计划的研究却很少。为了解决这一差距,本研究预测了釜山新港(韩国最大的集装箱港口)未来的电力消耗,并将其与当前的标准电力供应能力进行了比较,研究了未来保持稳定电力供应的可行性。我们应用使用过去10年的电力消耗和吞吐量数据训练的长短期记忆(LSTM)模型来预测釜山新港未来的电力消耗。根据结果,到2040年,电力消耗预计将以年均4.9%的速度增长,超过了同期预计的4.7%的年吞吐量增长。鉴于这些结果,预计到2040年,目前的标准电力供应能力将仅达到需求的35%,这表明未来港口稳定运营将需要额外的电力供应设施。
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Forecasting future electric power consumption in Busan New Port using a deep learning model

As smart and environmentally friendly technologies and equipment are introduced in the sea port industry, electric power consumption is expected to rapidly increase. However, there is a paucity of research on the creation of electric power management plans, specifically in relation to electric power consumption forecasting, in ports. In order to address this gap, this study forecasts future electric power consumption in Busan New Port (South Korea's largest container port) and, comparing this with the current standard electric power supply capacity, investigated the feasibility of maintaining a stable electric power supply in the future. We applied a Long Short-Term Memory (LSTM) model trained using electric power consumption and throughput data of the last 10 years to forecast the future electric power consumption of Busan New Port. According to the results, electric power consumption is expected to increase at an annual average of 4.9 % until 2040, exceeding the predicted annual 4.7 % increase in throughput during the same period. Given these results, the current standard electric power supply capacity is forecast to reach only 35 % of demand in 2040, indicating that additional electrical power supply facilities will be needed for stable port operation in the future.

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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
期刊最新文献
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