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Towards the Design of P2P Energy Trading Scheme Based on Optimal Energy Scheduling for Prosumers. (2020). Chung, Koo-Hyung ; Hur, Don.
In: Energies.
RePEc:gam:jeners:v:13:y:2020:i:19:p:5177-:d:423876.

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  1. RETRACTED: Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector. (2023). Peu, Susmita Datta ; Mannan, Md Abdul ; Das, Arnob ; Reza, Abu.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:5:p:2198-:d:1079376.

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  2. Balancing Usage Profiles and Benefitting End Users through Blockchain Based Local Energy Trading: A German Case Study. (2023). Bhandari, Vivek ; Tiwari, Vinod ; Muyeen, S M ; Ojha, Nabin B ; Ali, Liaqat ; Green, Jemma ; Peters, Jan ; Azim, Imran M ; Menon, Anand.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:17:p:6315-:d:1229392.

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  3. A Review of Peer-to-Peer Energy Trading with Standard Terminology Proposal and a Techno-Economic Characterisation Matrix. (2022). Hartmann, Niklas ; Wanapinit, Natapon ; Monfort, Meritxell Domenech ; de Jesus, Cesar.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:23:p:9070-:d:989056.

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  4. Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks. (2022). Tushar, Wayes ; Saha, Tapan K ; Azim, Imran M ; Smith, David ; Yuen, Chau.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:169:y:2022:i:c:s1364032122007894.

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  5. Using Energy Storage Inverters of Prosumer Installations for Voltage Control in Low-Voltage Distribution Networks. (2021). Mieski, Rozmysaw ; Urbanek, Przemysaw ; Wasiak, Irena.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:4:p:1121-:d:502848.

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  6. Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times. (2021). Paprocka, Iwona ; Kampa, Adrian.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:21:p:7446-:d:674703.

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  7. Novel Energy Trading System Based on Deep-Reinforcement Learning in Microgrids. (2021). Sun, Youngghyu ; Kim, Soohyun ; Lee, Seongwoo ; Seon, Joonho ; Kyeong, Chanuk.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:17:p:5515-:d:628715.

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  8. Analysis of Latvian Households’ Potential Participation in the Energy Market as Prosumers. (2021). Lebedeva, Kristina ; Dzelzitis, Egils ; Tamane, Antra ; Krumins, Andris.
    In: Clean Technol..
    RePEc:gam:jcltec:v:3:y:2021:i:2:p:25-449:d:555845.

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References

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