Relevant bibliographies by topics / Smart energy trading

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Smart energy trading'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Smart energy trading"

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Amini, Ahmad, Norziana Jamil, and Farah Aqilah Bohani. "BLOCKCHAIN-BASED SMART ENERGY TRADING: MOTIVATIONS AND CHALLENGES." COMPUSOFT: An International Journal of Advanced Computer Technology 09, no. 07 (2020): 3743–48. https://doi.org/10.5281/zenodo.15024768.

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The growing population and high demand of renewable energy leads to a decentralized solution to trade energy smartly. In an innovative energy market, consumers and prosumers are able to trade green energy locally and directly to balance the generation and consumption through decentralized community. In this paper, we present a comprehensive review of existing energy trading systems, their motivations and challenges. For this reason, new ICT technologies are investigated to consider their incredible affections on data transparency, energy trading and how energy consumer and producers are connec
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Xue, Feng, Kang Chang, Wei Li, et al. "Blockchain Smart Contract-Enabled Secure Energy Trading for Electric Vehicles." Energies 15, no. 18 (2022): 6733. http://dx.doi.org/10.3390/en15186733.

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In this paper, a blockchain-enabled energy trading method is proposed to deal with the inefficiency and security issues in energy trading for electric vehicles in smart grids. It includes the design of a smart contract and the excitation mechanism of energy sharing. The credit points of each vehicle as a node are considered in the design of the smart contract, which is used to supervise the process of energy trading. A strategy to estimate the credit points of each node and describe the excitation mechanism is illustrated. The connection between the credit points and the probability that a nod
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Khayyat, Manal Mahmoud, and Sami Ben Slama. "Smart Grid 2.0: Modeling Peer-to-Peer Trading Community and Incentives for Prosumers in the Transactive Energy Grid." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13470–80. http://dx.doi.org/10.48084/etasr.7001.

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Smart Grid 2.0 (SG 2.0) implementation constitutes an additional challenge in the industry and research fields. Energy consumption decreases when producers exchange excess energy consumers, including intelligent consumers, Distributed Generation (DG), such as wind and solar, and Electric Vehicles (EVs). By utilizing Demand Response (DR) based on Real-Time Pricing (RTP), the operation of every device in a smart home can be scheduled. Allowing users to trade energy directly with other energy producers (prosumers) rather than exclusively relying on the grid, peer-to-peer (P2P) energy trading in s
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Damisa, Uyikumhe, Nnamdi I. Nwulu, and Pierluigi Siano. "Towards Blockchain-Based Energy Trading: A Smart Contract Implementation of Energy Double Auction and Spinning Reserve Trading." Energies 15, no. 11 (2022): 4084. http://dx.doi.org/10.3390/en15114084.

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The decentralization of power generation driven by the rise in the adoption of distributed energy resources paves the way for a new paradigm in grid operations. P2P energy trading is beneficial to the grid as well as the connected peers. A blockchain-based smart contract is well suited to transparently facilitate trades between energy consumers and producers without the services of intermediaries. In this paper, Ethereum-based smart contracts that facilitate double energy auction and spinning reserve trading are developed with Solidity, compiled, and deployed within the Remix IDE. Willing ener
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Mahmoud, Marwan, and Sami Ben Slama. "Driving Innovation: Prosumer Incentives in Peer-to-Peer Energy Trading." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14600–14611. http://dx.doi.org/10.48084/etasr.7367.

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Peer-to-peer energy trading is an innovative idea that overcomes several technological and industrial hurdles. It allows industries and consumers, including knowledgeable prosumers, to trade excess energy with distributed generation sources, such as solar, wind, and electric vehicles, thus promoting a significant reduction in overall energy consumption. Real-Time Pricing (RTP) is increasingly essential in integrating smart home device Demand Response (DR) strategies. RTP improves energy management and enables customers to respond intelligently to price fluctuations. In this vein, this paper pr
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Gururaja H S, Ananya Hebbar, Amisha S Poojary, Asritam Aniruddh Bharadwaj, and Rakshitha B R. "Decentralized Energy Trading for Grids Using Blockchain for Sustainable Smart Cities." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 02 (2024): 134–41. http://dx.doi.org/10.47392/irjaeh.2024.0025.

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Blockchain technology can be used to create a decentralized energy trading system for grids that rely on renewable energy sources. This system would allow individuals and organizations that generate renewable energy, such as solar or wind power, to sell excess energy to others on the grid through a peer-to-peer network. Blockchain has smart contracts that facilitate the transactions and ensure that the energy is exchanged securely and transparently. This type of system can increase the efficiency and flexibility of the grid, and help to improve the acquisition of sustainable energy resources.
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Wang, Hao, Shenglan Ma, Chaonian Guo, Yulei Wu, Hong-Ning Dai, and Di Wu. "Blockchain-Based Power Energy Trading Management." ACM Transactions on Internet Technology 21, no. 2 (2021): 1–16. http://dx.doi.org/10.1145/3409771.

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Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise a new distributed energy transaction system over the energy Industrial Internet of Things based on predictive analytics, blockchain, and smart contract technologies. We propose a solution for scheduling distributed energy sources based on the Minimum Cut Maximum Flow theory. Blockchain is used to record transactions and reach consensus. Payment clearing for the actual power c
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Rahman, Mahfuzur, Solaiman Chowdhury, Mohammad Shorfuzzaman, Mohammad Kamal Hossain, and Mohammad Hammoudeh. "Peer-to-Peer Power Energy Trading in Blockchain Using Efficient Machine Learning Model." Sustainability 15, no. 18 (2023): 13640. http://dx.doi.org/10.3390/su151813640.

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The advancement of mircogrids and the adoption of blockchain technology in the energy-trading sector can build a robust and sustainable energy infrastructure. The decentralization and transparency of blockchain technology have several advantages for data management, security, and trust. In particular, the uses of smart contracts can provide automated transaction in energy trading. Individual entities (household, industries, institutes, etc.) have shown increasing interest in producing power from potential renewable energy sources for their own usage and also in distributing this power to the e
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Kajaan, Nor Ashbahani Mohamad, Nurul Hanisa Nor Amidi, Zainal Salam, and Raja Zahilah Raja Mohd Radzi. "Blockchain-Based Smart Contract for P2P Energy Trading in a Microgrid Environment." Journal of Physics: Conference Series 2312, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2312/1/012020.

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Abstract The purpose of this study is to propose a method of peer-to-peer (P2P) energy trading that allow prosumers with energy deficiency to buy energy from prosumers with excess energy in a microgrid system. The proposed method solves the problems associated with lack of trust in P2P energy trading and utilized the blockchain technology that made it impossible to tamper with data. The data is referred as transaction generated by using blockchain. A blockchain based smart contract execute the trading and payment rules without the intermediaries. Thus, the security and fairness of energy tradi
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Son, Ye-Byoul, Jong-Hyuk Im, Hee-Yong Kwon, Seong-Yun Jeon, and Mun-Kyu Lee. "Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption." Energies 13, no. 6 (2020): 1321. http://dx.doi.org/10.3390/en13061321.

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Advanced smart grid technologies enable energy prosumers to trade surplus energy from their distributed renewable energy sources with other peer prosumers through peer-to-peer (P2P) energy trading. In many previous works, P2P energy trading was facilitated by blockchain technology through blockchain’s distributive nature and capacity to run smart contracts. However, the feature that all the data and transactions on a blockchain are visible to all blockchain nodes may significantly threaten the privacy of the parties participating in P2P energy trading. There are many previous works that have a
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Dissertations / Theses on the topic "Smart energy trading"

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Yaagoubi, Naouar. "Game Theoretic Load Management Schemes for Smart Grids." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35069.

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To achieve a high level of reliability, efficiency, and robustness in electric systems, the concept of smart grid has been proposed. It is an update of the traditional electric grid designed to meet current and future customers' requirements. With the smart grid, demand management has been adopted in order to shape the load pattern of the consumers, maintain supply-demand balance, and reduce the total energy cost. In this thesis, we focus mainly on energy savings by critically investigating the problem of load management in the smart grid. We first propose a user aware demand management approa
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Guerrero, Orbe Jaysson Esteban. "Transactive Energy in Low-Voltage Networks." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23226.

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Over recent years, distributed energy resources (DER) have been the object of many studies, which recognise and establish their emerging role in the future of power systems. Given this context, the concept of transactive energy (TE) has emerged as a central element to the vision of the future grid. The transition to the emerging TE concept requires to tap the inherent flexibility of the demand-side. In this context, the concept of peer-to-peer (P2P) energy trading between consumers and prosumers is one of the new scenarios of growing importance in the domain of distribution networks. This loc
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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a co
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Belli, Grazia, Pietro Savatore Pantano, Daniele Minniti, and Nicola Sorrentino. "Local trading to coordinate prosumers in a virtual energy district." Thesis, 2016. http://hdl.handle.net/10955/1443.

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"Enabling Peer to Peer Energy Trading Marketplace Using Consortium Blockchain Networks." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.55571.

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abstract: Blockchain technology enables peer-to-peer transactions through the elimination of the need for a centralized entity governing consensus. Rather than having a centralized database, the data is distributed across multiple computers which enables crash fault tolerance as well as makes the system difficult to tamper with due to a distributed consensus algorithm. In this research, the potential of blockchain technology to manage energy transactions is examined. The energy production landscape is being reshaped by distributed energy resources (DERs): photo-voltaic panels, electric vehi
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Book chapters on the topic "Smart energy trading"

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Zhou, Kaile, and Lulu Wen. "P2P Electricity Trading Pricing in Energy Blockchain Environment." In Smart Energy Management. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_11.

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Zhou, Kaile, and Lulu Wen. "Credit-Based P2P Electricity Trading in Energy Blockchain Environment." In Smart Energy Management. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_12.

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Malsa, Nitima, Tushar Srivastave, Utkarsh Sahni, Suraj Garg, Ankush Ghosh, and Rabindra Nath Shaw. "SMART CITIES: P2P Energy Trading Using Blockchain." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_60.

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Ray, Ritambhar, Subir Gupta, Vikas Kumar Bhandari, Sudipta Hazra, Saikat Kumar Sau, and Cholleti Harish. "Enhancing BTST Trading with Sentiment Analysis and AI." In Power Energy and Secure Smart Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003661917-9.

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García-Muñoz, Fernando, Francisco Díaz-González, and Cristina Corchero. "P2P Energy Trading Model for a Local Electricity Community Considering Technical Constraints." In Smart Cities. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96753-6_20.

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Agarwal, Anshul. "Energy Trading in Smart Grids Using Game Theoretic Approach." In Soft Computing: Theories and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9858-4_52.

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Wang, Huiwei, Huaqing Li, and Bo Zhou. "Reinforcement Learning in Energy Trading Game Among Smart Microgrids." In Distributed Optimization, Game and Learning Algorithms. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4528-7_7.

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Khoumsi, Ahmed. "Efficient Collaborative Energy Trading Between Smart Grids Using Blockchain and Smart Contracts." In Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90639-9_94.

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Han, Wenlin. "The Role of Blockchain and Cryptocurrency in Smart Grid: Renewable Energy Trading, System Security and Privacy Preservation." In Handbook of Smart Energy Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-97940-9_8.

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Han, Wenlin. "The Role of Blockchain and Cryptocurrency in Smart Grid: Renewable Energy Trading, System Security and Privacy Preservation." In Handbook of Smart Energy Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72322-4_8-1.

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Conference papers on the topic "Smart energy trading"

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Valsan, Vipina, P. Sarvan Sri Sai, Koraganji Mukesh, Abbaraju Sree Tharun Raju, and Teja Sindukuri. "Blockchain Technology and Smart Contracts for Transformative Energy Trading." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911249.

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Meka, Naveen, and Praveen Tripathy. "Decentralized Energy Trading with Smart Contracts in Blockchain Ecosystem." In 2024 23rd National Power Systems Conference (NPSC). IEEE, 2024. https://doi.org/10.1109/npsc61626.2024.10987222.

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Rizi, Daryoush Tavangar, Mohammad Hassan Nazari, Seyed Hossein Hosseinian, and Gevork B. Gharehpetian. "Trading Strategy in Energy Hub:Scheduling Multi-Energy Systems Optimization Based on Demand Response." In 2024 14th Smart Grid Conference (SGC). IEEE, 2024. https://doi.org/10.1109/sgc64640.2024.10982901.

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Zahraoui, Younes, Binghui Han, Tekai Eddine Khalil Zidane, Pietro Elia Campana, and Saad Mekhilef. "A Robust Centralized Peer-to-Peer Energy Trading in the Energy Community." In 2024 International Conference on Smart Systems and Technologies (SST). IEEE, 2024. http://dx.doi.org/10.1109/sst61991.2024.10755191.

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Davoodi, Elnaz, and André Guimaraes Madureira. "P2P Energy Trading in Energy Communities with Local PV and Community Energy Storage Systems." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863619.

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Gui, Junping, Zheng Liu, Xueting Cheng, et al. "Optimization for Penalty Cost in Electricity Trading Using Energy Dispatching between Aggregators." In 2024 8th International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2024. https://doi.org/10.1109/icsgsc62639.2024.10813828.

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Sun, Chenxi, Xiaoying Tang, and Jianwei Huang. "Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement." In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2024. http://dx.doi.org/10.1109/smartgridcomm60555.2024.10738111.

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Agarwal, Shyam, Shailesh Kapoor, and Amit Jain. "Double Auction Mechanism Based Energy Trading in Blockchain Enabled Smart Microgrid." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653606.

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Shirke, Sonal I., Sushil Jain, and Payal Bansal. "Developing a Predictive Framework for Smart Energy Trading in Interconnected Microgrids." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841651.

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Lan, Jianheng, Fengji Luo, and Xiangyu Li. "Scalable Peer-to-Peer Energy Trading System With Microgrid Coalitions." In 2025 4th International Conference on Smart Grid and Green Energy (ICSGGE). IEEE, 2025. https://doi.org/10.1109/icsgge64667.2025.10985166.

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Reports on the topic "Smart energy trading"

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Pasupuleti, Murali Krishna. Smart Nanomaterials and AI-Integrated Grids for Sustainable Renewable Energy. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1025.

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Abstract: The transition to sustainable and intelligent renewable energy systems is being driven by advancements in smart nanomaterials and AI-integrated smart grids. Nanotechnology has enabled the development of high-performance energy materials, such as graphene, perovskites, quantum dots, and MXenes, which enhance the efficiency, durability, and scalability of renewable energy solutions. Simultaneously, AI-driven smart grids leverage machine learning, deep learning, and digital twins to optimize energy distribution, predictive maintenance, and real-time load balancing in renewable energy ne
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Ven, Seyhah, and Vutha Hing. Cambodia in the Electronic and Electrical Global Value Chains. Cambodia Development Resource Institute, 2019. https://doi.org/10.64202/wp.119.201900.

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This paper maps Cambodia’s participation in Electronic and Electrical (E&E) value chains using trade statistics. It also conducts SWOT analysis based on both qualitative and quantitative data from a E&E firm survey, from which three major conclusions are drawn. This paper argues that E&E production in Cambodia has expanded rapidly with countries in different development levels featuring coordinated and complex production networks. Companies in Cambodia have joined E&E value chains since 2005; yet the scale, scope, and depth of production are so far beyond most comparable countr
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