Smart homes are starting to become more present in our daily lives. Smart homes are useful for enabling energy management services and reducing monetary costs of the consumers. Despite the increasing research in these...
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This paper presents the benchmarking of three multi-agent systems powered by large language models. The paper presents a comparative analysis of AutoGen, CrewAI, and TaskWeaver. Nowadays, large language models have em...
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intelligent production scheduling has become predominant in smart factories that aim to greatly reduce energy costs. For this purpose, scheduling systems need to not only consider multiple machines, PV energy, and ele...
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This paper proposes a novel approach for the provision of non-frequency ancillary service(AS)by consumers connected to low-voltage distribution *** proposed approach considers an asymmetric pool-based local market for...
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This paper proposes a novel approach for the provision of non-frequency ancillary service(AS)by consumers connected to low-voltage distribution *** proposed approach considers an asymmetric pool-based local market for AS negotiation,allowing consumers to set a flexibility quantity and desired price to trade.A case study with 98 consumers illustrates the proposed market-based non-frequency AS provision ***,three different strategies of consumers’participation are implemented and tested in a real low-voltage distribution network with radial *** is shown that consumers can make a profit from the sale of their flexibility while contributing to keeping the network power losses,voltage,and current within pre-defined ***,the results demonstrate the value of AS coming directly from end-users.
This paper presents an innovative multi-agent ecosystem framework designed to simulate various energy communities and smart grids while providing an easy and practical solution to manage and control each simulation. T...
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Changes will be required to handle the increased power flow in the network as the distribution infrastructure ages and the number of EVs and renewable grows. Designing and operating an intelligent network that reacts ...
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Nowadays, data science and machine learning areas play a crucial role by performing predictions of energy with reliable historic of consumptions and other sensors data. This is crucial for decision makers to formulate...
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The transition toward sustainable and decentralized energy systems has prompted the emergence of Peer-to-Peer (P2P) energy trading systems, challenging traditional centralized models. This paper proposes a smart contr...
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As the European Union sets a target to increase renewable energy consumption by 2030, progressing towards a decentralized energy production becomes more a (greater?) priority. This can be achieved with initiatives suc...
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Empowering the consumers will increase the complexity of local communities’ management. Enabling bidirectional communication and appliances to become smarter can be a huge step toward implementing demand response. Ho...
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