Electricity demand forecasting in green ports: Modelling and future research directions
Author
Abstract
Suggested Citation
DOI: 10.1016/j.tranpol.2025.07.013
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Marcel Antal & Vlad Mihailescu & Tudor Cioara & Ionut Anghel, 2022. "Blockchain-Based Distributed Federated Learning in Smart Grid," Mathematics, MDPI, vol. 10(23), pages 1-19, November.
- Lam, Jasmine Siu Lee & Li, Kevin X., 2019. "Green port marketing for sustainable growth and development," Transport Policy, Elsevier, vol. 84(C), pages 73-81.
- Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
- Harry Geerlings & Robert Heij & Ron van Duin, 2018. "Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
- J. H. R. van Duin & H. Geerlings & L. A. Tavasszy & D. L. Bank, 2019. "Factors causing peak energy consumption of reefers at container terminals," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-17, December.
- Alper Seyhan, 2025. "A Novel Study for Machine-Learning-Based Ship Energy Demand Forecasting in Container Port," Sustainability, MDPI, vol. 17(12), pages 1-14, June.
- Mariusz Brzeziński & Dariusz Pyza & Joanna Archutowska & Michał Budzik, 2024. "Method of Estimating Energy Consumption for Intermodal Terminal Loading System Design," Energies, MDPI, vol. 17(24), pages 1-35, December.
- Guang Chen & Xiaofeng Ma & Lin Wei, 2024. "Multifeature-Based Variational Mode Decomposition–Temporal Convolutional Network–Long Short-Term Memory for Short-Term Forecasting of the Load of Port Power Systems," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
- Zhang, Yue & Liang, Chengji & Shi, Jian & Lim, Gino & Wu, Yiwei, 2022. "Optimal Port Microgrid Scheduling Incorporating Onshore Power Supply and Berth Allocation Under Uncertainty," Applied Energy, Elsevier, vol. 313(C).
- Aiming Mo & Yan Zhang & Yiyong Xiong & Fan Ma & Lin Sun, 2024. "Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System," Mathematics, MDPI, vol. 12(12), pages 1-24, June.
- Hu, Huanling & Wang, Lin & Peng, Lu & Zeng, Yu-Rong, 2020. "Effective energy consumption forecasting using enhanced bagged echo state network," Energy, Elsevier, vol. 193(C).
- Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
- Zhang, Liang & Wen, Jin & Li, Yanfei & Chen, Jianli & Ye, Yunyang & Fu, Yangyang & Livingood, William, 2021. "A review of machine learning in building load prediction," Applied Energy, Elsevier, vol. 285(C).
- Martínez-Moya, Julián & Vazquez-Paja, Barbara & Gimenez Maldonado, Jose Andrés, 2019. "Energy efficiency and CO2 emissions of port container terminal equipment: Evidence from the Port of Valencia," Energy Policy, Elsevier, vol. 131(C), pages 312-319.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ramazan Ozkan Yildiz & Elif Koc & Oguzhan Der & Murat Aymelek, 2024. "Unveiling the Contemporary Research Direction and Current Business Management Strategies for Port Decarbonization Through a Systematic Review," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
- Alper Seyhan, 2025. "A Novel Study for Machine-Learning-Based Ship Energy Demand Forecasting in Container Port," Sustainability, MDPI, vol. 17(12), pages 1-14, June.
- Tran Thi Nguyet Minh & Hanh-Thi Hong Hoang & Hyung Sik Nam & Anas S. Alamoush & Phan Anh Duong, 2025. "Revisiting Port Decarbonization for Advancing a Sustainable Maritime Industry: Insights from Bibliometric Review," Sustainability, MDPI, vol. 17(10), pages 1-36, May.
- Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
- Ma, Kai & Feng, Yanpei & Yang, Jie & Cai, Yao & Yang, Bo & Guan, Xinping, 2025. "Two-stage distributionally robust optimization for port integrated energy system with berth allocation under uncertainties," Energy, Elsevier, vol. 322(C).
- Bakar, Nur Najihah Abu & Bazmohammadi, Najmeh & Çimen, Halil & Uyanik, Tayfun & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Data-driven ship berthing forecasting for cold ironing in maritime transportation," Applied Energy, Elsevier, vol. 326(C).
- Anthony Roy & François Auger & Jean-Christophe Olivier & Emmanuel Schaeffer & Bruno Auvity, 2020. "Design, Sizing, and Energy Management of Microgrids in Harbor Areas: A Review," Energies, MDPI, vol. 13(20), pages 1-24, October.
- Wang, Jinggai & Li, Huanhuan & Yang, Zaili & Ge, Ying-En, 2024. "Shore power for reduction of shipping emission in port: A bibliometric analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
- Hanyu Lu & Lufei Huang, 2021. "Optimization of Shore Power Deployment in Green Ports Considering Government Subsidies," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
- Sun, Yantao & Guo, Yujia & Zhang, Qiang & Jia, Youwei, 2025. "Berth allocation and energy scheduling for all-electric ships in seaport microgrid: A Stackelberg game approach," Energy, Elsevier, vol. 322(C).
- Song, Tiewei & Fu, Lijun & Zhong, Linlin & Fan, Yaxiang & Shang, Qianyi, 2025. "Two-layer deep reinforcement learning based port energy management strategy considering transportation-energy coupling characteristics," Energy, Elsevier, vol. 318(C).
- Mohamad Issa & Patrick Rizk & Loïc Boulon & Miloud Rezkallah & Rodrigue Rizk & Adrian Ilinca, 2025. "Smart, Connected, and Sustainable: The Transformation of Maritime Ports Through Electrification, IoT, 5G, and Green Energy," Sustainability, MDPI, vol. 17(17), pages 1-43, August.
- Chen, Zhelun & O’Neill, Zheng & Wen, Jin & Pradhan, Ojas & Yang, Tao & Lu, Xing & Lin, Guanjing & Miyata, Shohei & Lee, Seungjae & Shen, Chou & Chiosa, Roberto & Piscitelli, Marco Savino & Capozzoli, , 2023. "A review of data-driven fault detection and diagnostics for building HVAC systems," Applied Energy, Elsevier, vol. 339(C).
- Pruethsan Sutthichaimethee & Worawat Sa-Ngiamvibool & Buncha Wattana & Jianhui Luo & Supannika Wattana, 2025. "Enhancing Sustainable Strategic Governance for Energy-Consumption Reduction Towards Carbon Neutrality in the Energy and Transportation Sectors," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
- Chandra Prakash Garg & Vishal Kashav & Xuemuge Wang, 2023. "Evaluating sustainability factors of green ports in China under fuzzy environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7795-7821, August.
- Kai Zhou & Xiang Yuan & Ziyuan Guo & Jianrui Wu & Ruijia Li, 2024. "Research on Sustainable Port: Evaluation of Green Port Policies on China’s Coasts," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
- Ivan S. Maksymov, 2023. "Analogue and Physical Reservoir Computing Using Water Waves: Applications in Power Engineering and Beyond," Energies, MDPI, vol. 16(14), pages 1-26, July.
- Qingzhou Wang & Mengfan Li & Yuning Zhang & Yanan Kang, 2025. "Green Port Collection and Distribution System in Low-Carbon Development: Scenario-Based System Dynamics," Sustainability, MDPI, vol. 17(14), pages 1-23, July.
- Raihan, Asif & Hasnat, Md Al & Rahman, Syed Masiur & Ridwan, Mohammad & Rahman, Md Masudur & Islam, Md Tasbirul & Sarker, Tapan & Dhar, Bablu Kumar & Bari, ABM Mainul, 2025. "Recent advancements in alternative energies, technological innovations, and optimization strategies for seaport decarbonization," Innovation and Green Development, Elsevier, vol. 4(3).
- Li, Yalin & Sun, Zhen & Li, Yaqi & Yang, Hao & Liu, Xiaohang & He, Weidong, 2025. "A vision transformer-based method for predicting seismic damage states of RC piers: Database development and efficient assessment," Reliability Engineering and System Safety, Elsevier, vol. 263(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:1012-1024. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/trapol/v171y2025icp1012-1024.html