Emerging Technologies for the Energy Systems of the Future

Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible

Crime, transport and technology

This chapter aims to examine how changes in transport technology have influenced and altered the landscape for crime, criminal opportunity and the criminal justice system. The original intention at the outset of this chapter was to examine developments in transport and technology separately, and then to discuss a combined definition of what transport technology is. However, in doing this it quickly became apparent that this was a rather futile approach. The traditional definitions of technology were centred on the study of arts and crafts, but soon evolved to include an emphasis on purposeful invention and the strategic deployment of such invention (Rip and Kemp, 1998). In its narrowest sense technology can be thought of as a set of tools. However, more modern definitions of technology encompass a notion of something that works, thus often incorporates systems rather than just tools, and, therefore, in its widest sense, technology can also include skills and infrastructure. When considering advances in transport, from the development of the wheel, of boats and horse drawn carriages, from the first to more modern motorised vehicles, or considering other forms of travel such as bicycles and motorcycles, submarines, hovercraft, aeroplanes, and even spacecraft - it becomes apparent that disentangling developments in transport from developments in technology is rather difficult. When adopting the systems view of technology, this is particularly evident. Indeed, within the transport literature frequent reference is given to the notion of a ‘transport system’. Examples include public transport systems, the growth of Intelligent Transport Systems (ITS), automated and smart transport systems, travel demand and forecasting systems, and fuel efficiency systems. Therefore, by virtue of the way modern transport has evolved, there is a defensible argument for considering transport systems and transport technologies as interchangeable terms

Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

Playing Smart - Artificial Intelligence in Computer Games

Abstract: With this document we will present an overview of artificial intelligence in general and artificial intelligence in the context of its use in modern computer games in particular. To this end we will firstly provide an introduction to the terminology of artificial intelligence, followed by a brief history of this field of computer science and finally we will discuss the impact which this science has had on the development of computer games. This will be further illustrated by a number of case studies, looking at how artificially intelligent behaviour has been achieved in selected games

Special Session on Industry 4.0

No abstract available