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dc.date.accessioned 2021-04-13T17:40:23Z
dc.date.available 2021-04-13T17:40:23Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/116978
dc.description.abstract Peer-to-Peer (P2P) Markets of prosumers trading utility surpluses (e.g., heating, cooling, or electric power) is a plausible realization of industrial symbiosis for companies in Eco-Industrial Parks (EIPs) in order to reach significant economic benefits and cut emissions. Through the synergistic co-generation and trading of utilities and industrial services, a P2P Market design makes room for socially desirable behavior despite the inherent selfish nature of each prosumer company. In this paper, a P2P Market prototype for the automated negotiation of utilities between prosumers in an EIP is proposed as a mechanism design to encourage prosumers to participate in trading surpluses. Blockchain transactions and Smart Contracts, combined with Internet of Things (IoTs) technology such as smart meters, are the implementation means to secure that the terms of exchange agreed upon will be automatically enforced. During the simulation of the EIP, each prosumer (represented by a negotiation agent) chooses whether to negotiate with another prosumer or to buy or sell its surpluses to a traditional service provider, such as a main electric power service provider or a gas provider, according to a previously learned policy while considering the context it is immersed in. Utilities between prosumers are exchanged based on a digital currency, the token, which could be readily implemented over Ethereum/Solidity platforms. Smart contract negotiations between prosumers revolve around agreeing (or not) on the price expressed in tokens of a utility profile, given the private and public information available to different parties. Simulation results highlight how automated negotiations allow prosumers to reach higher profits in the P2P Market from trading utility surpluses. en
dc.format.extent 32-45 es
dc.language en es
dc.subject Industrial symbiosis and internet of things es
dc.subject Automated negotiation es
dc.subject Blockchain and smart contracts es
dc.subject Game theory es
dc.subject Reinforcement learning es
dc.title Automated Negotiation of Smart Contracts for Utility Exchanges between Prosumers in Eco-Industrial Parks en
dc.type Objeto de conferencia es
sedici.identifier.uri http://49jaiio.sadio.org.ar/pdfs/siiio/SIIIO-04.pdf es
sedici.identifier.issn 2618-3277 es
sedici.creator.person Krohling, Dan E. es
sedici.creator.person Mione, Federico es
sedici.creator.person Hernández, Federico es
sedici.creator.person Martínez, Ernesto es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2020-10
sedici.relation.event III Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2020) - JAIIO 49 (Modalidad virtual) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)