Combined Economic Emission Dispatch using a Novel Quantum Behaved-BAT Algorithm for a Hybrid Microgrid DOI
Kayode Timothy Akindeji, Anuoluwapo Aluko, Daniel Raphael Ejike Ewim

et al.

Published: April 2, 2024

Language: Английский

Shore power mitigates the prevailing carbon leakage driven by maritime market-based measures: A dynamic system interpretation DOI Creative Commons
He Peng, Jianli Hao, Linxiang Lyu

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145243 - 145243

Published: March 1, 2025

Language: Английский

Citations

0
Hydrogen airport location selection and fleet assignment under policy considerations DOI

Jiaxuan Wu,

Xiaoqian Sun, Yifan Xu

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 197, P. 104078 - 104078

Published: March 18, 2025

Language: Английский

Citations

0
Carbon Reduction in Modern Port: Novel Load Forecasting and Optimal Dispatching Methods for Integrated Port Energy System DOI
Ruoli Tang,

Siwen Ning,

Zongyang Ren

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

1
Multifeature-Based Variational Mode Decomposition–Temporal Convolutional Network–Long Short-Term Memory for Short-Term Forecasting of the Load of Port Power Systems DOI Open Access
Guang Chen, Xiaofeng Ma,

Lin Wei

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5321 - 5321

Published: June 22, 2024

Accurate short-term forecasting of power load is essential for the reliable operation comprehensive energy systems ports and effectively reducing consumption. Owing to complexity port systems, traditional methods often struggle capture non-linearity multifactorial interactions within factors creating load. To address these challenges, this study combines variational mode decomposition (VMD), temporal convolutional network (TCN), long memory (LSTM) develop a multi-feature-based VMD-TCN-LSTM model ports. VMD first used decompose series into multiple, relatively stable components mitigate volatility. Furthermore, meteorological features are introduced TCN-LSTM model, which feature extraction capability TCN term-dependent learning LSTM. Comparative analyses with other common models using observed data from coastal in China demonstrate that proposed achieves higher prediction accuracy, an R-squared value 0.94, mean squared error 3.59 MW, absolute percentage 2.36%.

Language: Английский

Citations

1
Low-carbon optimal dispatch strategy of power systems considering the combined operation of oxy-fuel combustion and electric hydrogen production DOI

Bohan Zhang,

Zuoming Zhang, Jianbo Xiao

et al.

International Journal of Green Energy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: July 21, 2024

Language: Английский

Citations

1
Research progress and strategy of improving evaporation performance of solar driven interface evaporation system by designing special structure DOI

Xin Yuan,

Yuqing Sun, Weixin Chen

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 158705 - 158705

Published: Dec. 1, 2024

Language: Английский

Citations

1
Optimal Planning of Renewable Energy Infrastructure for Ports under Multiple Design Scenarios Considering System Constraints and Growing Transport Demand DOI
Linfeng Li, Ming Zhong, Xiaofeng Ma

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143827 - 143827

Published: Sept. 1, 2024

Language: Английский

Citations

0
Combined Economic Emission Dispatch using a Novel Quantum Behaved-BAT Algorithm for a Hybrid Microgrid DOI
Kayode Timothy Akindeji, Anuoluwapo Aluko, Daniel Raphael Ejike Ewim

et al.

Published: April 2, 2024

Language: Английский

Citations

0