The aim of this paper is twofold. Firstly, to briefly present the overall objectives and the expected outcome of an on-going effort concerning the design the implementation and the analysis of next generation intelligent energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the preliminary experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale energy e-markets. Based on an existing simulation system we present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations that cover real life scenarios and stress most components and modules of next generation smart energy markets. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics of our platform are presented.

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This paper presents, the design, the implementation and the preliminary experimentation of a simulation framework for investigating the effectiveness of battery powered vehicles under the assumption that they follow a route which is either predefined or its basic characteristics can be obtained at almost real time. In particular we would like to investigate the feasibility of all electric, battery only powered trains whose batteries are charged at appropriately located renewable energy sources. We have develop our web based, open software simulation platform by utilizing and extending Gridlab-D, a power system modeling and simulation environment and by incorporating data from various sources. Results from preliminary simulations of real life scenarios are presented and analyzed.