Practicality of Green H2 Economy for Industry and Maritime Sector Decarbonization through Multiobjective Optimization and RNN-LSTM Model Analysis

MK Kazi, F Eljack - Industrial & Engineering Chemistry Research, 2022 - ACS Publications
A green H2 economy's practicality depends highly on multisector decarbonization and cost–
benefit analyses of the supply chain, including production routes, techno-economic …

A practical accessibility evaluation method for port-centric coal transportation chains: Considering the environment and operational adaptability

M Dong, Y Li, X Xu, Y Zha - Sustainability, 2022 - mdpi.com
Improving the accessibility of coal transportation is a crucial issue for energy security,
national defense, and livelihoods. In this study, a method to evaluate the performance of the …

China coastal bulk (Coal) freight index forecasting based on an integrated model combining ARMA, GM and BP model optimized by GA

Z Li, W Piao, L Wang, X Wang, R Fu, Y Fang - Electronics, 2022 - mdpi.com
The China Coastal Bulk Coal Freight Index (CBCFI) is the main indicator tracking the coal
shipping price volatility in the Chinese market. This index indicates the variable performance …

A novel real-time multi-step forecasting system with a three-stage data preprocessing strategy for containerized freight market

K Yin, H Guo, W Yang - Expert Systems with Applications, 2024 - Elsevier
The management and decision-making of the shipping market rely heavily on the accurate
forecasting of the China Containerized Freight Index (CCFI); however, this is still a …

[HTML][HTML] A Novel Intelligent Prediction Model for the Containerized Freight Index: A New Perspective of Adaptive Model Selection for Subseries

W Yang, H Zhang, S Yang, Y Hao - Systems, 2024 - mdpi.com
The prediction of the containerized freight index has important economic and social
significance. Previous research has mostly applied sub-predictors directly for integration …

Forecasting shipping index using CEEMD-PSO-BiLSTM model

C Li, X Wang, Y Hu, Y Yan, H Jin, G Shang - Plos one, 2023 - journals.plos.org
Shipping indices are extremely volatile, non-stationary, unstructured and non-linear, and
more difficult to forecast than other common financial time series. Based on the idea of" …

On predicting ocean freight rates: a novel hybrid model of combined error evaluation and reinforcement learning

H Guo, H Kuang, C Sui, L Wang - Maritime Economics & Logistics, 2024 - Springer
The prediction of shipping freight rates is crucial for shipping companies and related
professionals, to navigate market changes, refine business strategy, and improve risk …

A new exploration in Baltic Dry Index forecasting learning: application of a deep ensemble model

M Su, KS Park, SH Bae - Maritime Economics & Logistics, 2024 - Springer
World trade is growing constantly, facilitated by the fast expansion of logistics. However,
risks and uncertainty in shipping have also increased, in dire need to be addressed by the …

LSTM-Based Congestion Detection in Named Data Networks

S Abdelwahed, H Touati - … Conference on Intelligent Systems Design and …, 2022 - Springer
Abstract Nowadays, Named Data Network (NDN) presents the most famous paradigm based
on Information Centric Network (ICN). Known as the Internet of the future, it searches on data …

Correlation between CBCFI and Carbon Trading Price Mining from An Econometric Perspective

J Li, W Xiao, Y Hu, S Li, X Tang - … 2022 6th International Conference on E …, 2022 - dl.acm.org
As China's carbon emissions trading market continues to develop, the study of factors
affecting carbon trading prices has become increasingly important. Data mining is a kind of …