A multi-agent system performing one-to-many negotiation for load balancing of electricity use

Brazier, Frances M. T.; Cornelissen, Frank; Gustavsson, Rune; Jonker, Catholijn M.; Lindeberg, Olle; Polak, B.; Treur, Jan

doi:10.1016/s1567-4223(02)00013-3

Cited by 30 publications

(17 citation statements)

References 5 publications

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“…Those prices rise as we get further from the specified threshold. This particular pricing strategy already introduced in [3] is perfectly compliant with the findings of other researches: from the already cited [7] and [8] to older studies led by Brazier et al [16]. These researches do not provide the same formulation, however the common conclusion is that satisfying large number of demands will stress energy production lines introducing additional costs for the final user.…”

Section: Modelling Of Agents Applicationsupporting

confidence: 75%

An Agent-Based Application to Enable Deregulated Energy Markets

Capodieci

Cabri

Pagani

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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Abstract-Private houses are more and more enabled with devices that can produce renewable energy, and the not so remote chance of selling the surplus energy makes them new players in the energy market. This market is likely to become deregulated since each energy home-producer can negotiate the energy price with consumers, typically by means of an auction; on the other hand, consumers can always rely on energy companies, even if their energy is more expensive. This scenario could lead to advantages for users, but it is certainly complex and dynamic, and needs an appropriate management. To this purpose, in this paper we propose an agent-based application to deal with the negotiation among different parties producing and consuming energy. Software agents, thanks to their autonomy in taking decisions, well suit the requirements of the proposed scenario. For our application, we adopt a strategy derived from game theory, in order to optimize energy production and supply costs by means of negotiation and learning. The effectiveness of our approach is proved by simulation results of a situation involving energy buyers, energy producers using renewable micro-generation facilities and large-scale traditional electricity companies.

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Section: Modelling Of Agents Applicationsupporting

confidence: 75%

An Agent-Based Application to Enable Deregulated Energy Markets

Capodieci

Cabri

Pagani

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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show abstract

“…Agent technology is currently being used within many existing markets in which negotiations are multiple (e.g. between producers and consumers in the energy market) and complexity high [24]. Agents are also used for negotiations in which identity is to be protected, e.g.…”

Section: Participatory System For the Horticultural Fresh Food Marketmentioning

confidence: 99%

SamenMarkt®, a Proposal for Restoring Trust in the Horticultural Fresh Food Market by Using Multi-Agent System Technology

Kooten¹,

Nevejan²,

Brazier³

et al. 2018

Agricultural Value Chain

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In the horticultural fresh food supply chain network in the Netherlands, a crisis is emerging. The market is out of balance and many growers are facing bankruptcy, in the period of 2011-2013, 50% of the growers were not able to pay interest and redemption. Trust between participants in the supply chain network has decreased. This chapter presents the currently not established and identifies design requirements for new systems to address this challenge and provide directions for possible improvement. As a result, this chapter introduces the concept of SamenMarkt ® , a participatory system in which multi-agent system technology enables distributed price negotiation, distribution and communication between producers, retailers and consumers. A SWOT analysis of the concept of SamenMarkt ® is provided together with a research and development plan in which simulation and emulation create the basis for stakeholder-and participant involvement in the design process of a distributed digital market place. Further research aims to study how SamenMarkt ® can provide a solution space for the emerging global food crises. At present, we are using agent-based modelling to simulate the present market and scenarios. The next step will be to build the actual agent-based platform for real-time negotiations and business intelligence.

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“…Much research has been done in recent years on the area of automating the negotiation process using intelligent software agents [6,7,5,8,9]. In this paper, an agent is be defined as a piece of software that is capable of autonomous action [10].…”

Section: Automated Negotiation and Monitoringmentioning

confidence: 99%

Automated Non-repudiable Cloud Resource Allocation

Clark

Warnier

Brazier

2013

Communications in Computer and Information Science

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Abstract. This paper presents an Intelligent Cloud Resource Allocation Service (ICRAS) that assists consumers with the complex task of finding the optimal configuration of Cloud resources given a consumer's specific needs. The process of selecting a CSP becomes increasingly complex as the number of Cloud Service Providers (CSP) offering similar services continues to grow. Consumers can pick and choose between CSPs based on a growing number of options, including price, Quality of Service, reputation and so forth. The advent of dynamic pricing (based on real-time availability) further increases the complexity of CSP selection. ICRAS alleviates much of this burden from the consumer by automating the processes of service discovery, evaluation, negotiation and migration. Furthermore, ICRAS monitors Service Level Agreement (SLA) compliance using non-repudiable monitoring techniques.

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A multi-agent system performing one-to-many negotiation for load balancing of electricity use

Cited by 30 publications

References 5 publications

An Agent-Based Application to Enable Deregulated Energy Markets

An Agent-Based Application to Enable Deregulated Energy Markets

SamenMarkt®, a Proposal for Restoring Trust in the Horticultural Fresh Food Market by Using Multi-Agent System Technology

Automated Non-repudiable Cloud Resource Allocation

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