Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks

Alruqimi, Mohammed; Di Persio, Luca

doi:10.1007/s44196-024-00640-3

Int J Comput Intell Syst

2024

DOI: 10.1007/s44196-024-00640-3

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Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks

Mohammed Alruqimi,

Luca Di Persio

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2024

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Cited by 3 publications

References 27 publications

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Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model

Alruqimi,

Di Persio

2024

Energy Inform

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Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model

Alruqimi,

Di Persio

2024

Energy Inform

View full text Add to dashboard Cite

Regulations in the Intelligent Development of China’s Logistics Industry in the Context of Artificial Intelligence

Zhu,

Li,

Cui

2024

Applied Mathematics and Nonlinear Sciences

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Artificial intelligence significantly contributes to the intelligent development of China’s logistics industry, leading to significant advancements in the construction of industry-related regulations. The study builds a knowledge graph of the intelligent development and regulation construction of China’s logistics industry, constructs a BSB-Bi-LSTM-CRF model for named entity identification in the intelligent development and regulation construction of the logistics industry, and applies the BSB-Bi-GRU model to extract entity relationships in the intelligent development and regulation construction of the logistics industry. Based on the constructed knowledge graph, co-occurrence analysis, cluster analysis, time zone analysis, and emergence analysis were conducted on the keywords between 2010 and 2020 to explore the development trend and development focus of regulations in the intelligent development of China’s logistics industry during this period. Among the top 15 keywords, intelligent logistics, logistics regulations, logistics enterprises, legal measures, sustainable development, logistics activities, logistics management, etc., with intermediary centrality of more than 0.35 and cooccurrence frequency of more than 80, Cluster 1, Cluster 2, and Cluster 3 keywords belong to the basic, hot, and novel contents in the construction of regulations for the intelligent development of the logistics industry, respectively. The years 2010-2012, 2013-2015, and 2016-2020 correspond to the starting, exploring, and developing phases of the construction of regulations for the intelligent development of China’s logistics industry respectively.

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Stochastic Approaches to Energy Markets: From Stochastic Differential Equations to Mean Field Games and Neural Network Modeling

Di Persio,

Alruqimi,

Garbelli

2024

Energies

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This review paper examines the current landscape of electricity market modelling, specifically focusing on stochastic approaches, transitioning from Mean Field Games (MFGs) to Neural Network (NN) modelling. The central objective is to scrutinize and synthesize evolving modelling strategies within power systems, facilitating technological advancements in the contemporary electricity market. This paper emphasizes the assessment of model efficacy, particularly in the context of MFG and NN applications. Our findings shed light on the diversity of models, offering practical insights into their strengths and limitations, thereby providing a valuable resource for researchers, policy makers, and industry practitioners. The review guides navigating and leveraging the latest stochastic modelling techniques for enhanced decision making and improved market operations.

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Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks

Cited by 3 publications

References 27 publications

Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model

Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model

Regulations in the Intelligent Development of China’s Logistics Industry in the Context of Artificial Intelligence

Stochastic Approaches to Energy Markets: From Stochastic Differential Equations to Mean Field Games and Neural Network Modeling

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