Privacy and Transparency in Blockchain-based Smart Grid Operations

In the past few years, blockchain technology has emerged in numerous smart grid applications, enabling the construction of systems without the need for a trusted third party. Blockchain offers transparency, traceability, and accountability, which lets various energy management system functionalities be executed through smart contracts, such as monitoring, consumption analysis, and intelligent energy adaptation. Nevertheless, revealing sensitive energy consumption information could render users vulnerable to digital and physical assaults. This paper presents a novel method for achieving a dual balance between privacy and transparency, as well as accountability and verifiability. This equilibrium requires the incorporation of cryptographic tools like Secure Mul- tiparty Computation and Verifiable Secret Sharing within the distributed components of a multi- channel blockchain and its associated smart contracts. We corroborate the suggested architecture throughout the entire process of a Demand Response scenario, from the collection of energy data to the ultimate reward. To address our proposal’s constraints, we present countermeasures against accidental crashes and Byzantine behavior while ensuring that the solution remains appropriate for low-performance IoT devices

Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review

Blockchain (BC) and artificial intelligence (AI) are often utilised separately in energy trading systems (ETS). However, these technologies can complement each other and reinforce their capabilities when integrated. This paper provides a comprehensive review of consensus algorithms (CA) of BC and deep reinforcement learning (DRL) in ETS. While the distributed consensus underpins the immutability of transaction records of prosumers, the deluge of data generated paves the way to use AI algorithms for forecasting and address other data analytic related issues. Hence, the motivation to combine BC with AI to realise secure and intelligent ETS. This study explores the principles, potentials, models, active research efforts and unresolved challenges in the CA and DRL. The review shows that despite the current interest in each of these technologies, little effort has been made at jointly exploiting them in ETS due to some open issues. Therefore, new insights are actively required to harness the full potentials of CA and DRL in ETS. We propose a framework and offer some perspectives on effective BC-AI integration in ETS

BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's production methods and productivity, and also changing the paradigm of scientific research. Among them, the AI language model represented by ChatGPT has made great progress. Such large language models (LLMs) serve people in the form of AI-generated content (AIGC) and are widely used in consulting, healthcare, and education. However, it is difficult to guarantee the authenticity and reliability of AIGC learning data. In addition, there are also hidden dangers of privacy disclosure in distributed AI training. Moreover, the content generated by LLMs is difficult to identify and trace, and it is difficult to cross-platform mutual recognition. The above information security issues in the coming era of AI powered by LLMs will be infinitely amplified and affect everyone's life. Therefore, we consider empowering LLMs using blockchain technology with superior security features to propose a vision for trusted AI. This paper mainly introduces the motivation and technical route of blockchain for LLM (BC4LLM), including reliable learning corpus, secure training process, and identifiable generated content. Meanwhile, this paper also reviews the potential applications and future challenges, especially in the frontier communication networks field, including network resource allocation, dynamic spectrum sharing, and semantic communication. Based on the above work combined and the prospect of blockchain and LLMs, it is expected to help the early realization of trusted AI and provide guidance for the academic community

Zone-Based Privacy-Preserving Billing for Local Energy Market Based on Multiparty Computation

This paper proposes a zone-based privacy-preserving billing protocol for local energy markets that takes into account energy volume deviations of market participants from their bids. Our protocol incorporates participants' locations on the grid for splitting the deviations cost. The proposed billing model employs multiparty computation so that the accurate calculation of individual bills is performed in a decentralised and privacy-preserving manner. We also present a security analysis as well as performance evaluations for different security settings. The results show superiority of the honest-majority model to the dishonest majority in terms of computational efficiency. They also show that the billing can be executed for 5000 users in less than nine seconds in the online phase for all security settings, demonstrating its feasibility to be deployed in real local energy markets

Blockchain in the built environment: analysing current applications and developing an emergent framework

Distributed ledger technology (DLT), commonly referred to as ‘blockchain’ and originally invented to create a peer-to-peer digital currency, is rapidly attracting interest in other sectors. The aim in this paper is (1) to investigate the applications of DLT within the built environment, and the challenges and opportunities facing its adoption; and (2) develop a multi-dimensional emergent framework for DLT adoption within the construction sector. Key areas of DLT applications were found in: smart energy; smart cities and the sharing economy; smart government; smart homes; intelligent transport; Building Information Modelling (BIM) and construction management; and business models and organisational structures. The results showed a significant concentration of DLT research on the operation phase of assets. This is expected given the significant resources and lifespan associated with the operation phase of assets and their social, environmental and economic impact. However, more attention is required to address the current gap at the design and construction phases to ensure that these phases are not treated in isolation from the operational phase. An emergent framework combining the political, social and technical dimensions was developed. The framework was overlaid with an extensive set of challenges and opportunities. The structured and inter-connected dimensions provided by the framework can be used by field researchers as a point of departure to investigate a range of research questions from political, social or technical perspectives

Smarter City: Smart Energy Grid based on Blockchain Technology

The improvement of the Quality of Life (QoL) and the enhancement of the Quality of Services (QoS) represent the main goal of every city evolutionary process. It is possible making cities smarter promoting innovative solutions by use of Information and Communication Technology (ICT) for collecting and analysing large amounts of data generated by several sources, such as sensor networks, wearable devices, and IoT devices spread among the city. The integration of different technologies and different IT systems, needed to build smart city applications and services, remains the most challenge to overcome. In the Smart City context, this paper intends to investigate the Smart Environment pillar, and in particular the aspect related to the implementation of Smart Energy Grid for citizens in the urban context. The innovative characteristic of the proposed solution consists of using the Blockchain technology to join the Grid, exchanging information, and buy/sell energy between the involved nodes (energy providers and private citizens), using the Blockchain granting ledger

Using blockchain to create and capture value in the energy sector

The undergoing digital transition of the energy sector refers to the integration of decentralized ledger technologies and data-driven solutions that have the potential to truly revolutionize its ecosystem and business practices. The aim of a decentralized, inter connected and two-way interactive energy grid can be enabled by leveraging blockchain technologies. This research investigates how blockchain technology can create and capture value from data and the new business models applied in Web 3.0 and blockchain-based environments in the energy sector. A qualitative case study research design was conducted for primary data collection and pilot projects by the European Commission were used for secondary data collection. The analysis shows local energy communities as the main blockchain application in this sector, with adjacent applications such as P2P energy trading, smart contract & metering, carbon trading and grid management. The main benefits associated are transparency, integrity, grid automation and renewable energy sources promotion, and obstacles are mainly associated with the contrasting centralized design of the current energy systems. We conclude that value is created and captured through data provenance and transparency, data monetization and tokenization, and data sharing and collaboration in blockchain platforms. New business models include the decentralization and fusion between energy production and consumption, generating a new actor known as the prosumer. Fundamental to a successful implementation of local energy communities that allow energy and asset trading between peers.A transição digital do sector energético baseia-se na integração de tecnologias de registo descentralizadas e de soluções de tratamento de dados que têm o potencial de revolucionar o seu ecossistema. O objetivo de uma rede de energia descentralizada e interconectada em ambos os sentidos, pode ser concretizado através do recurso a tecnologias blockchain. Esta investigação analisa a forma como esta tecnologia pode criar e reter valor a partir de dados e dos novos modelos de negócio associados à Web 3.0 e a ambientes baseados em blockchain neste sector. Para a recolha de dados primários, foi efetuado um caso de estudo qualitativo. Para dados secundários foram analisados os projetos-piloto da Comissão Europeia. A análise demonstra que as comunidades locais de energia são a principal aplicação da blockchain, com aplicações adjacentes como trocas de energia P2P, contratos e contadores inteligentes, comércio de carbono e gestão da rede. Os principais benefícios associados são a transparência, a integridade, a automatização da rede e a promoção das fontes de energia renováveis. Os obstáculos estão principalmente associados à estrutura centralizada dos atuais sistemas energéticos. Concluímos que o valor é criado e capturado através da proveniência, transparência, monetização, tokenização e integração de dados em plataformas blockchain. Os novos modelos de negócio incluem a descentralização e a fusão entre a produção e o consumo de energia, gerando um novo elemento neste sector, o prosumer. Fundamental para uma implementação bem sucedida de comunidades locais de energia que permitam o comércio de energia e de ativos entre pares