Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …

This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …

Transportation is a backbone of modern globalized societies. It also causes approximately
one third of all European Union and US greenhouse gas emissions, represents a major …

The effective pricing of electric vehicle (EV) charging by aggregators constitutes a key
problem toward the realization of the significant EV flexibility potential in deregulated …

Wicked problems like sustainable energy and financial market stability are societal
challenges that arise from complex sociotechnical systems in which numerous social …

Sustainable energy systems of the future will need more than efficient, clean, low-cost,
renewable energy sources; they will also need efficient price signals that motivate …

Background Forensic odontology may require a visual or clinical method during
identification. Sometimes it may require forensic experts to refer to the existing technique to …