Business Model of Peer-to-Peer Energy Trading: A Review of Literature

Muhsen, Hani; Allahham, Adib; Al-Halhouli, Ala’aldeen; Al-Mahmodi, Mohammed; Alkhraibat, Asma; Hamdan, Musab

doi:10.3390/su14031616

Cited by 52 publications

(24 citation statements)

References 110 publications

(215 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The business model system is mainly composed of these elements, which are positioning, business system, key resource capabilities, profit model, free cash flow structure and enterprise value. Each element promotes each other and can improve the entire business model system [7][8][9].…”

Section: Construction Of Business Model Elements Of "Internet Plus" C...mentioning

confidence: 99%

Research on Business Model Innovation of Chenzhou Intangible Cultural Heritage Industry from the Perspective of Internet Plus

Wen

2023

Frontiers in Artificial Intelligence and Applications

View full text Add to dashboard Cite

The Internet has accelerated the rapid development of many emerging technologies and gradually expanded its impact on the cultural industry. The business model of the Internet and intangible cultural heritage related industries should also be developed and innovated. Focusing on Chenzhou City, Hunan Province, this paper explores the inheritance strategy of intangible cultural heritage. In view of the current problems in the business model of intangible cultural heritage industry, it makes a feasibility analysis from both the development trend and the technical environment, and puts forward countermeasures against the problems in the business model of intangible cultural heritage industry from the perspective of “Internet Plus”.

show abstract

Section: Construction Of Business Model Elements Of "Internet Plus" C...mentioning

confidence: 99%

Research on Business Model Innovation of Chenzhou Intangible Cultural Heritage Industry from the Perspective of Internet Plus

Wen

2023

Frontiers in Artificial Intelligence and Applications

View full text Add to dashboard Cite

show abstract

“…This is from the system operator's point of view, which can be seen as a controllable load, which has to be optimally coordinated. A large number of studies and initiatives about the use of a blockchain in the energy sector are published [6,[27][28][29][30][31][32][33], and the blockchain is seen as particularly promising in the area of P2P trading and decentralized energy management since, through the blockchain, a large number of self-interested actors can be connected and coordinated. This technology is widely adopted as a market layer, which can be divided into two structures: the P2P market, where traders may conduct direct energy exchange, and the energy community market, where the interest of the group is one of the main goals that each participant would want to reach.…”

Section: State Of the Artmentioning

confidence: 99%

Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities

et al. 2022

View full text Add to dashboard Cite

The development of local energy communities observed in the last years requires the reorganization of energy consumption and production. In these newly considered energy systems, the commercial and technical decision processes should be decentralized in order to reduce their maintenance costs. This will be allowed by the progressive spreading of IoT systems capable of interacting with distributed energy resources, giving local sources the ability to be optimally coordinated in terms of network and energy management. In this context, this paper presents a decentralized controlling architecture that performs a wide spectrum of power system optimization procedures oriented to the local market management. The controller framework is based on a decentralized genetic algorithm. The manuscript describes the structure of the tool and its validation, considering an automated distributed resource scheduling for local energy markets. The simulation platform permits implementing the blockchain-based trading process and the automated distributed resource scheduling. The effectiveness of the tool proposed is discussed with a hardware-in-the-loop case study.

show abstract

“…Then, employing the double-sided auction approach, all orders are matched where traders can specify the quantity and price at which they want to trade within the boundaries of the price set directly from the grid [24], [25]. Based on previous studies in the P2P market, traders in the double auction (DA) market frequently use a zero intelligence (ZI) trading strategy [26]- [30]. The order price that ZI traders determine is the random surplus offset from the value of a particular range, e.g., FiT and ToU.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Approach on Multi-Agent Deep Reinforcement Learning With Multiple Clusters for Peer-To-Peer Energy Trading

Sanayha

Vateekul

2022

IEEE Access

View full text Add to dashboard Cite

Peer-to-peer (P2P) energy trading system has the ability to completely revolutionize the current household energy system by sharing energy among residents. As the number of customers employing distributed energy resources (DERs) such as solar rooftops increase, innovation in the double auction market (DA) system is becoming more significant. In this paper, a novel model-based asynchronous advantage actor-centralized-critic with communication (MB-A3C3) approach is carried out. The model is conducted on a large scale real-world hourly 2012-2013 dataset of 300 households in Sydney having rooftop solar systems installed in New South Wales (NSW), Australia. Results reveal that the MB-A3C3 approach outperforms other reinforcement learning methods (MADDPG and A3C3), producing lower community energy bills for 300 households. In closing the gap between the real-world and theoretical problems, the algorithms herein aid in reducing customers' electricity bills.INDEX TERMS peer-to-peer energy trading, model-based reinforcement learning, multi-agent reinforcement learning, deep learning approach

show abstract

Business Model of Peer-to-Peer Energy Trading: A Review of Literature

Cited by 52 publications

References 110 publications

Research on Business Model Innovation of Chenzhou Intangible Cultural Heritage Industry from the Perspective of Internet Plus

Research on Business Model Innovation of Chenzhou Intangible Cultural Heritage Industry from the Perspective of Internet Plus

Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities

Model-Based Approach on Multi-Agent Deep Reinforcement Learning With Multiple Clusters for Peer-To-Peer Energy Trading

Contact Info

Product

Resources

About