Classical building control systems are becoming vulnerable with increasing complexities in
contemporary built environments and energy systems. Due to this, the reinforcement …

Multi-agent systems (MAS) consist of multiple intelligent agents that interact to solve
problems that may be beyond the capabilities of a single agent or system. For many years …

This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …

Abstract Machine learning (ML) is the fastest growing field in computer science, and health
informatics is among the greatest challenges. The goal of ML is to develop algorithms which …

This study proposes a cooperative multi-agent system for managing the energy of a stand-
alone microgrid. The multi-agent system learns to control the components of the microgrid so …

The development of plug-in electrical vehicles (PEVs) and distributed energy resources in
home microgrids (H-MGs) is gaining attention in recent years. Accordingly, it is vital to apply …

This is the first comprehensive introduction to multiagent systems and contemporary
distributed artificial intelligence that is suitable as a textbook. The book provides detailed …

Photovoltaic generation is one of the cleanest forms of energy conversion available. One of
the advantages offered by solar energy is its potential to provide sustainable electricity in …

In the chapters in Part I of this textbook the author introduces the fundamental ideas of
artificial intelligence and computational intelligence. In Part II he explains key AI methods …

This paper proposes a multi-agent based decentralized energy management approach in a
grid-connected microgrid (MG). The MG comprises of wind and photovoltaic resources …