Design and Evaluation of a Lightweight Blockchain Framework for Secure Decentralised Energy Trading in Smart Grids
スマートグリッドにおける安全な分散型エネルギー取引のための軽量ブロックチェーンフレームワークの設計と評価 (AI 翻訳)
Aliyu Musa Kida
🤖 gxceed AI 要約
日本語
本研究は、Hyperledger FabricとPBFTコンセンサス、ZigbeePro通信、LSTMベースの需要予測を統合した軽量ブロックチェーンフレームワークを提案する。シミュレーションとプロトタイプにより、低遅延（48.9ms）、高スループット（185tps）、97.8%のパケット到達率を実証し、リソース制約のあるIoTネットワークでの分散型エネルギー取引の実現可能性を示した。
English
This paper proposes a lightweight blockchain framework integrating Hyperledger Fabric with PBFT consensus, ZigbeePro communication, and LSTM-based demand forecasting. Evaluations show low latency (48.9 ms), high throughput (185 tps), and 97.8% packet delivery ratio, demonstrating feasibility for decentralized energy trading in resource-constrained IoT networks.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではFIT後の再生可能エネルギーの自家消費や余剰電力取引が進んでおり、本フレームワークのような軽量ブロックチェーン技術は、ローカルなP2P電力取引を効率化する可能性がある。ただし、実際の導入には通信規格や電力市場ルールの調整が必要。
In the global GX context
Globally, decentralized energy trading is a key enabler for renewable energy integration. This lightweight blockchain solution addresses scalability and latency issues that hinder real-world adoption, offering a potential pathway for peer-to-peer electricity markets in smart grids.
👥 読者別の含意
🔬研究者:Provides a validated framework combining lightweight blockchain, IoT, and AI forecasting for energy trading, useful for further optimization and real-world deployment studies.
🏢実務担当者:Highlights technical specifications (latency, throughput) and hardware prototype (Raspberry Pi/ESP32) relevant for utility companies and energy startups exploring distributed energy platforms.
🏛政策担当者:Demonstrates technical feasibility of decentralized energy trading, which could inform regulatory sandboxes and market design for renewable energy communities.
📄 Abstract（原文）
Abstract: The increasing usage of distributed renewable energy resources has rapidly increased the transition to decentralised smart grids. This is where secure and efficient peer-to-peer (P2P) energy trading is crucial. However, conventional blockchain-based energy trading schemes suffer from high computational overhead, communication latency, and limited scalability, making them unsuitable for resource-constrained Internet of Things (IoT) networks. This research proposes a lightweight blockchain framework that incorporates Hyperledger Fabric with Practical Byzantine Fault Tolerance (PBFT) consensus, ZigbeePro communication, and Long Short-Term Memory (LSTM)-based energy demand forecasting to facilitate secure and intelligent decentralised energy trading. The framework was evaluated using MATLAB/Simulink simulation, NS-3, Hyperledger Fabric, and a Raspberry Pi/ESP32 prototype. The results of the experiment show that the proposed framework achieved an average latency of 48.9 ms, throughput of 185 transactions per second, packet delivery ratio of 97.8%, and support for up to 250 IoT nodes while maintaining low energy overhead. The LSTM forecasting model attained an R² of 0.964 with a MAPE of 4.7%, delivering accurate demand prediction for intelligent energy allocation. Compared with centralised and Proof-of-Work blockchain models, the proposed framework enhanced communication efficiency, scalability, and security while reducing computational cost. These results demonstrated that integrating lightweight blockchain, low-power communication, and Artificial Intelligence-based forecasting provides a practical and scalable solution for decentralised energy trading for the next-generation smart grids.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21553492first seen 2026-07-26 04:19:19
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。