A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations

作者：

Highlights：

• Peer-to-peer market design for industrial symbiosis in eco-industrial parks.

• Automated negotiation as a key mechanism to incentivize market participation.

• Negotiation agents representing selfish prosumers to foster real-time trading.

• Learning context-aware negotiation strategies considering private preferences.

• Social welfare and near equilibrium conditions reached in the market.

摘要

•Peer-to-peer market design for industrial symbiosis in eco-industrial parks.•Automated negotiation as a key mechanism to incentivize market participation.•Negotiation agents representing selfish prosumers to foster real-time trading.•Learning context-aware negotiation strategies considering private preferences.•Social welfare and near equilibrium conditions reached in the market.

论文关键词：Automated negotiations,Eco-Industrial Parks,Market design,Blockchain,Internet of Things,Reinforcement learning

论文评审过程：Received 19 November 2020, Revised 27 September 2021, Accepted 7 November 2021, Available online 27 November 2021, Version of Record 5 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116211