Results 11 to 20 of about 82 (68)

Dynamic Analysis of Stakeholders' Decision-Making in Power Battery Recycling Considering Risks. [PDF]

Glob Chall
The risk‐induced loss quantification model based on conditional value‐at‐risk (CVaR) is established to elucidate the impact of various risk parameters on stakeholders' revenues and evolutionary paths, as well as identify the key parameters that affect risk‐induced loss.
Huang J, Wang Z, He Z, Xu W, Luo F.
europepmc   +2 more sources

Tracing Three Decades of Low Earth Orbit Satellite Communication Development: A Bibliometric and Main Path Analysis of Network Architectures, Protocol Evolution, and Emerging Intelligent Services

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite communication systems have evolved into a critical component of global broadband networks, enabling wide‐area connectivity, IoT services, and intelligent multilayer satellite–terrestrial integration. Despite rapid advancements in constellation deployment, routing mechanisms, resource management, and LEO–5G/6G ...
Wei‐Hao Su, Ya‐Chen Chuang, Long‐Sheng Chen   +2 more
wiley   +1 more source

Coordinating a bi‐level blood supply chain with interactions between supply‐side and demand‐side operational decisions

International Transactions in Operational Research, Volume 33, Issue 3, Page 1971-2015, May 2026.
Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh, Yun Zhou, Manish Verma   +2 more
wiley   +1 more source

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, Volume 14, Issue 3, Page 1505-1528, March 2026.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

Adaptive Multi‐Objective Coordinated Scheduling of Distribution Areas Based on Deep Reinforcement Learning

Engineering Reports, Volume 8, Issue 2, February 2026.
This study proposes deep reinforcement learning‐driven adaptive multi‐objective dispatch for distribution areas. The graphical abstract image shows the collaborative framework of Grid‐Forming and Grid‐Following areas, achieving a dynamic balance of voltage support and economic efficiency via intelligent dispatch.
Xie Wenqiang, Chen Hui, Yuan Yubo, Zhang Chenyu, Xiao Xiaolong, Zhu Weiping, Guo Ning   +6 more
wiley   +1 more source

Urban Sprawl Undermines Agricultural Supply Chain Resilience: Amplifying Role of Resource Misallocation and Its Threshold Effects

Food and Energy Security, Volume 15, Issue 1, January/February 2026.
ABSTRACT The acceleration of urbanization and its resultant expansion of urban sprawl (US) have significantly reshaped agricultural supply chain resilience (ASCR). In this study, we focused on the effects of US and the induction of imbalances in resource allocation.
Shilong Xi, Xiaohui Wang, Ziyi Qiu, Yang Luo, Kejun Lin   +4 more
wiley   +1 more source

Blockchain in Communication Networks: A Comprehensive Review

IET Blockchain, Volume 6, Issue 1, January/December 2026.
This article provides a comprehensive review of blockchain applications in communication networks, focusing on domains such as IoT, 5G, vehicular systems, and decentralised trust infrastructures. It examines key challenges—including scalability, interoperability, and latency—and outlines future directions such as lightweight consensus protocols and AI ...
Quazi Mamun, Zhenni Pan, Jun Wu
wiley   +1 more source

Joint Decision‐Making for UAV Deployment and Computational Offloading Optimized for Energy Consumption and Latency in Space‐Air‐Ground Integrated Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
Within the framework of integrated space‐air‐ground edge computing networks, this paper investigates the joint optimization of task allocation, user‐UAV association, UAV deployment, and computation resource allocation between UAVs and the LEO satellite.
Tengda Huang, Tao Hu, Di Wu, Wenzhi Zhao
wiley   +1 more source

Enhancing Federated Learning in IoT: A Quality‐Based Incentive Mechanism With Stackelberg Game Modelling

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a quality‐based incentive mechanism for federated learning (FL) in Internet of Things (IoT) systems using a Stackelberg game framework. The mechanism rewards clients based on the quality of their uploaded models, ensuring fairness and motivating higher‐quality contributions.
Qinchi Li, Haitao Zhao, Qin Wang, Weicong Zhang, Yangzhi Chen, Zhixiang Hu   +5 more
wiley   +1 more source

Digital Twin‐Driven Two‐Stage Bi‐Level Collaborative Operation Strategy for Multi‐Microgrids Considering Energy Sharing and Price Incentives

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
ABSTRACT To enhance the techno‐economic performance and robustness of multi‐microgrids (MMG) systems, this paper proposes a two‐stage bi‐level collaborative optimisation strategy integrating energy sharing and price incentives. In the day‐ahead stage, the shared energy storage operator (SESO) at the upper level employs conditional Wasserstein ...
Xianghu Cui, Qiang Guo, Fei Xu, Xiang Hu, Jianqiang Ouyang   +4 more
wiley   +1 more source