Using Archon, Part 2: Electricity Transportation Management
IEEE Expert: Intelligent Systems and Their Applications
A Multi-Agent Based Negotiation Support System for Distributed Transmission Cost Allocation
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Agents Negotiating for Load Balancing of Electricity Use
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Negotiation in multi-agent systems
The Knowledge Engineering Review
A multi-agent system for building project memories to facilitate the design process
Integrated Computer-Aided Engineering
A new autonomous agent approach for the simulation of pedestrians in urban environments
Integrated Computer-Aided Engineering
Multi-agent system to monitor oceanic environments
Integrated Computer-Aided Engineering
Construction of ontologies from object-oriented database models
Integrated Computer-Aided Engineering
Agent-based cloud workflow execution
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Teleoperation of multi-agent systems with nonuniform control input delays
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Sharing hardware resources in heterogeneous computer-supported collaboration scenarios
Integrated Computer-Aided Engineering
Fuzzy agent-based approach for consensual design synthesis in product configuration
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
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The energy management in complex power electronic systems especially in case of limited power availability is challenging. In these systems generators, loads, energy storage devices and electrical power routers must be dynamically controlled and reconfigured based on need and priority in order to accommodate the power demand. Furthermore, to achieve optimal use of the available energy, soft continuous reconfiguration is more effective than hard switching reconfiguration. The implementation of this capability in large systems calls for distribution on one hand and integration on the other hand, of control functionalities with monitoring, decision making and other ancillary functions. A multi-agent framework has been proposed in the literature to control these systems. Agents must perform different tasks such as measurement, control, computation, decision making, and simulation, each task being best performed in a specific hardware or software environment. The focus of this work is a heterogeneous agent-based monitoring and control system, while the aim is to allow the use of interactive and proactive capabilities proper of agents. For this purpose dedicated interfaces between the agents and the measurement, control and simulation environments have been implemented. The presented application is the load management in a limited-power, power electronic system.