Multi-Agent Energy Systems Simulation

• Daljnji autori: Pinto, Tiago (Urednik), Soares, João (Urednik), Lezama, Fernando (Urednik)
• Format: Elektronički Poglavlje knjige
• Jezik: engleski
• Izdano: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Teme: History of engineering & technology; EV charging; multi-agent system; digital twin; customer satisfaction indicator; smart microgrid; energy management system; real-time optimization; immune system algorithm; economic dispatch; energy consumption; wireless sensor network; cooperation; collaboration; ontology; energy sector; scoping review; decision-aid; distributed energy resources; distribution system operator; reactive power management; uncertainty; day-ahead market; balancing market; bilateral trading; market design; variable renewable energy; agent-based simulation; MATREM system; congestion management; dynamic tariff; agent-based distribution networks; demand response; routing protocols; performance parameters; Wireless Sensor Network (WSN)
• Online pristup: DOAB: download the publication; DOAB: description of the publication

The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeli...