Autonomous electric mobility on demand (AEMoD) has recently emerged as a cyber-physical system aiming to bring automation, electrification, and on-demand services for the future private transportation market. The expected massive demand on such services and its resulting insufficient charging time/resources prohibit the use of centralized management and full vehicle charging. A fog-based multi-...

With the progressive exhaustion of fossil energy and the enhanced awareness of environmental protection, more attention is being paid to plug in hybrid electric vehicles (PHEV). Inappropriate siting and sizing of PHEV parking lots (PL) could have negative effects on the development of PHEV, the layout of the city traffic network, and the convenience of PHEVs’ drivers as well as lead to an incre...

Abstract “Queer” is a relatively recent and somewhat controversial term in African studies. Yet it proving to be productive, not only for understanding subjectivities of sexuality gender, but also situating Africa’s position the larger economy knowledge. Otu van Klinken explore productive tensions between “queer” “Africa,” aim read Africa as queer from Africa. Thus, rather than imagining polar ...

This paper surveys recent literature in the domain of machine learning techniques and artificial intelligence used to predict stock market movements. Artificial Neural Networks (ANNs) are identified to be the dominant machine learning technique in stock market prediction area. Keywords— Artificial Neural Networks (ANNs); Stock Market; Prediction

Facing the recent growing concern about the environment and electric power crisis triggered by the Great East Japan Earthquake, efficient use of energy has become an important issue. A smart grid that is a next-generation electric power network is expected to be one of the solutions and to form an enormous market. Aiming to enter this new smart grid market, Sumitomo Electric Industries, Ltd. es...

Abstract: In this paper, we develop a novel electric power supply chain network model with fuel supply markets that captures both the economic network transactions in energy supply markets and the physical network transmission constraints in the electric power network. The theoretical derivation and analysis are done using the theory of variational inequalities. We then apply the model to a spe...

Main challenges within the energy system of tomorrow are more volatile, less controllable and at the same time more decentralized electricity generation. Furthermore, the increasing research and development activities on electric vehicles (EV) make a significant share of electric vehicles within the passenger car fleet in 2030 more and more likely. This will lead to a further increase of power ...

Abstract: In this paper, we develop a novel electric power supply chain network model with fuel supply markets that captures both the economic network transactions in energy supply chains and the physical network transmission constraints in the electric power network. The theoretical derivation and analyses are done using the theory of variational inequalities. We then apply the model to a spec...