Jul 2026· 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT)· pp. 735-740· 0 citations· 15 references
Abstract
The paper will suggest a decentralized energy trading system based on blockchain and multi-agent system with Firefly Optimization to solve inefficiencies, absence of transparency, and high operational expenses in the conventional centralized energy markets. The methodology involves the use of autonomous agents to trade peers, blockchain as a security and transparent transaction management system, and Firefly Optimization to improve decision-making and optimization of trading strategies. Evaluation of the system is done via simulation in a smart grid setting. The results reveal the high advancement with 93% trading efficiency, 30% cost reduction, accelerated convergence (12 iterations) and system reliability (96%) in comparison to the current techniques. Moreover, the model suggested is highly scaled and can withstand dynamic conditions of energy. In general, the framework offers an effective, safe, and flexible response to the present-day decentralized energy trading systems.
This study proposes a hybrid framework integrating machine learning and blockchain technologies for loss-aware optimization in distributed photovoltaic (PV) systems. The framework combines data-driven loss prediction, decentralized data validation, and optimization-based energy management to improve operational efficie...
Erhan Baran· Turkish journal of science a...· 0 citations
A decentralized P2P trading framework that implements a fully functional blockchain-based trading system with smart grid simulation and demonstrates a prototype machine learning forecasting module (Random Forest, 84% accuracy) designed for future integration is presented.
Sameen Fatima, M. Arshad· Sustainability· 0 citations
In blockchain-based systems, smart contracts facilitate transparent and automated transactions. However, since gas is needed for every operation carried out on the blockchain, inefficient smart contract design can greatly raise gas costs. In this paper, using our defined review criteria, we review existing literature o...
Hamza Hashmi, Ayesha Maqbool, Tauseef Rana· Journal of King Saud Univers...· 0 citations
The Internet of Vehicles (IoV) provides an advancement in smart transportation, enabling seamless communication between vehicles, sensors, pedestrians, and roadside units. However, the dynamic and untrusted nature of IoV possesses significant challenges such as security, privacy risks, scalability limitations, and sing...
A. Yadav, Ashwini Kumar Meena, V. Pawar et al.· IEEE Transactions on Intelli...· 0 citations
The coupling of electricity and carbon markets presents new challenges for the operation of industrial park integrated energy systems. This paper proposes a comprehensive framework to address inaccurate response modeling, scalability limitations in pricing, and a lack of trust in distributed trading. A dynamic sensitiv...
Xiaotao Nie, Qiu Wang, Peng-Fei Wang et al.· International Conference on...· 0 citations
The Quantum-Blockchain Fusion Framework (QBFF) introduces a
pioneering solution for dynamic access control in federated grid computing
systems. Addressing critical challenges in security, scalability, and
adaptability, QBFF combines quantum key distribution (QKD) for secure
communication with blockchain technology for...
A. R. Johnson Durai· International Journal of Mod...· 0 citations
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