Search results for "Energy Sharing"

showing 3 items of 3 documents

Enabling peer-to-peer User-Preference-Aware Energy Sharing Through Reinforcement Learning

2020

Renewable, heterogeneous and distributed energy resources are the future of power systems, as envisioned by the recent paradigm of Virtual Power Plants (VPPs). Residential electricity generation, e.g., through photovoltaic panels, plays a fundamental role in this paradigm, where users are able to participate in an energy sharing system and exchange energy resources among each other. In this work, we study energy sharing systems and, differently from previous approaches, we consider realistic user behaviors by taking into account the user preferences and level of engagement in the energy trades. We formulate the problem of matching energy resources while contemplating the user behavior as a …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHeuristicbusiness.industryComputer scienceDistributed computingEnergy SharingPeer-to-peercomputer.software_genreReinforcement LearningBehavioral modelingElectric power systemElectricity generationDistributed generationReinforcement learningbusinesscomputerInteger programmingVirtual Power Plant
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A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems

2021

Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The problem of maximizing the energy exchange while considering such user modeling is formulated and shown to be NP-Hard. To learn the user behavior, two heuristics are proposed: 1) a Reinforcement Learning-based algorithm, which provides a bounded regret and 2) a more computationally efficient heuristic, named BPT- ${K}…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMathematical optimizationCorrectnessComputer Networks and CommunicationsRenewable Energy Sustainability and the EnvironmentComputer scienceHeuristicUser modelingRegretBounded rationalityReinforcement learningCoal Energy exchange Energy Sharing Systems Green products Power generation Production Reinforcement Learning Renewable energy sources User Preference Virtual Power PlantsEnergy marketHeuristics
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REPUTATION MANAGEMENT ALGORITHMS IN DISTRIBUTED APPLICATIONS

2020

Nowadays, several distributed systems and applications rely on interactions between unknown agents that cooperate in order to exchange resources and services. The distributed nature of these systems, and the consequent lack of a single centralized point of control, let agents to adopt selfish and malicious behaviors in order to maximize their own utility. To address such issue, many applications rely on Reputation Management Systems (RMSs) to estimate the future behavior of unknown agents before establishing actual interactions. The relevance of these systems is even greater if the malicious or selfish behavior exhibited by a few agents may reduce the utility perceived by cooperative agents…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniReputation Management Systems Distributed Applications Smart Grid Energy Management Energy Sharing Systems
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