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    Bilateral privacy-preserving energy sharing in network-constrained models via homomorphic encryption-based distributed optimization
    (2026-05-01)
    Wang, Hongli
    ;
    Yang, Jun
    ;
    Li, Gaojunjie
    ;
    Wu, Fuzhang
    ;
    Xie, Lilong
    The proliferation of distributed energy enables prosumers to participate in local trading, yet privacy concerns and network constraints hinder market implementation. This paper proposes a bilateral privacy-preserving energy sharing mechanism that secures sensitive data while enforcing grid operational limits. We develop a prosumer decision model incorporating utility functions and transfer distance factors. To resolve privacy-coordination conflicts, a distributed optimization framework compatible with nonlinear models is designed by integrating gradient descent and dual ascent. This framework guarantees convergence under problem convexity and Lagrangian gradient existence. Furthermore, a homomorphic encryption scheme is integrated to enable dual-blind computations, which prevents plaintext disclosure to either prosumers or the operator while maintaining network safety. Theoretical analysis confirms the scheme's correctness and computational tractability. Numerical simulations on IEEE 14-bus and 33-bus systems validate the mechanism regarding convergence, bilateral privacy protection, and social welfare enhancement. Finally, the algorithm's scalability is demonstrated through penalty-based acceleration, which meets the practical deployment requirements of modern power system.
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    An Exploration of the Performance of Prosumer Amidst Rapid Digital Evolution
    (2025-01-01)
    Sa-ardnak, Arissa
    ;
    Chaiyasoonthorn, Wornchanok
    ;
    Chaveesuk, Singha
    The online business environment presents a diverse range of clients for entrepreneurs, leading to a wide range of lifestyle variances. This causes misunderstandings between each other, which can lead to problems in business operations. This research article aims to develop a research framework which influences the prosumer performance amidst rapid digital evolution in Thailand and is ready to cope with future changes. This research is using qualitative research methods. Data were collected using in-depth individual interviews. Important information providers include 25 Prosumers of social network. The Snowball sampling technique is applied in this study. The tools used for data collection were questions for semi-structured interviews combined with participant observation. The results of the research explore which variables influence Prosumer performance on rapidly changing digital platforms and how. This result motivates Prosumer to perform to achieve their goals.