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Smart grid has opened up a new role of “prosumer” in an energy value network, transforming many conventional energy consumers into prosumers, who not only generate green energy but also share the surplus with utilities and other consumers. The concept of a goal-oriented prosumer community group (PCG) has emerged recently as an effective way to fulfill sustainable energy exchange. Such community-based energy sharing networks comprise multiple irreconcilable objectives such as demand constraints, cost constraints, and income maximization. In many cases, one goal may be achievable only at the expense of other goals. This necessitates the development of an effective framework to manage the multiple goals and reduce the gap with their achievement levels. Therefore, in this research paper, an effective framework is developed to negotiate among the multiple goals and thus to define optimal mutual goals for each PCG in a more sustainable manner using multiple-criteria goal programming techniques. Simulation results are presented to illustrate how the methods work in practical situations, where each of the objective measure is given a target value and the unwanted deviations from this set are minimized in an achievement function. [ABSTRACT FROM AUTHOR]

Energy demand is continually rising, worldwide. Most of the current demand is met by non-renewable energy sources, like coal, petroleum, and natural gas. However, currently, society is faced with the problem of dwindling and scarce non-renewable energy resources, resulting in a shortage of energy. Moreover, the process of energy production from non-renewable sources is increasing greenhouse gas emissions, leading to unpleasant and potentially dangerous climatic changes. Therefore, in today?s world, the focus is on inducing users to reduce their household energy consumption, and shift to using energy produced from renewable sources, such as solar, water, and wind. Not only this, but users are being encouraged to generate the green energy, and to either store the surplus for future usage or to feed it back into the utility grid. In order to evolve such bidirectional energy and information flow, the concept of the smart-grid has been proposed [1]. [ABSTRACT FROM PUBLISHER]

Abstract: Steganography is the art and science of hiding information. This paper introduces e-Forensics as a novel technique for extracting secret information electronically creatively. We propose an e-Forensics system capable of detecting or extracting secret information using generic steganalytic algorithms. The system is based on an agent computing approach where the autonomic agent would traverse several websites and detect steganographic communication. If steganographic activity was detected it would report back to the concerned authority. A conceptual overview of the system, as well as its design layout is presented. An illustrative example clarifies system''s functionality and performance. [Copyright &y& Elsevier]

Smart grids are robust, self-healing networks that allow bidirectional propagation of energy and information within the utility grid. This introduces a new type of energy user who consumes, produces, stores and shares energy with other grid users. Such a user is called a "prosumer." Prosumers' participation in the smart grid is critical for the sustainability and long-term efficiency of the energy sharing process. Thus, prosumer management has attracted increasing attention among researchers in recent years. This paper systematically examines the literature on prosumer community based smart grid by reviewing relevant literature published from 2009 to 2018 in reputed energy and technology journals. We specifically focus on two dimensions namely prosumer community groups and prosumer relationships. Based on the evaluated literature, we present eight propositions and thoroughly describe several future research directions. [ABSTRACT FROM AUTHOR]