Efficient and scalable geographical peer matching for P2P energy sharing communities

Author:

Duvignau Romaric1,Gulisano Vincenzo1,Papatriantafilou Marina1

Affiliation:

1. Chalmers University of Technology, Sweden

Funder

Chalmers University of Technology

Publisher

ACM

Reference9 articles.

1. Peer-to-Peer Energy Sharing

2. Romaric Duvignau Vincenzo Gulisano and Marina Papatriantafilou. 2021. Geographical Peer Matching for P2P Energy Sharing. arXiv:cs.ET/2112.11286 Romaric Duvignau Vincenzo Gulisano and Marina Papatriantafilou. 2021. Geographical Peer Matching for P2P Energy Sharing. arXiv:cs.ET/2112.11286

3. Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing

4. Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing

5. Ulf JJ Hahnel , Mario Herberz , Alejandro Pena-Bello , David Parra , and Tobias Brosch . 2019. Becoming prosumer: Revealing trading preferences and decision-making strategies in peer-to-peer energy communities. Energy Policy ( 2019 ), 111098. Ulf JJ Hahnel, Mario Herberz, Alejandro Pena-Bello, David Parra, and Tobias Brosch. 2019. Becoming prosumer: Revealing trading preferences and decision-making strategies in peer-to-peer energy communities. Energy Policy (2019), 111098.

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1. A Generic Parametric Framework for Peer-to-Peer Electricity Market Design;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

2. Cost-Optimization for Win-Win P2P Energy Systems;2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2023-01-16

3. Greediness is not always a vice: Efficient Discovery Algorithms for Assignment Problems;Procedia Computer Science;2023

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