Context-awareness in the deregulated electric energy market: an agent-based approach

Multi-agent Systems are commonly used for simulation of new paradigms of energy distribution. Especially when considering Smart Grids, the autonomicity deployed by goal-driven agents implies the need for being aware of multiple aspects connected to the energy distribution context. With “context” we refer to outside world variables like weather, stock market trends, location of the users, government actions etc.; therefore an architecture highly context-aware is needed. We propose a model in which every important factor concerning the electric energy distribution is presented by modelling context-aware agents able to identify the impact of these factors. Moreover, some tests have been performed regarding the web service integration in which agents contracting energy will automatically retrieve data to be used in adaptive and collaborative aspects; an explicative example, is represented by the retrieval of weather forecasting, that provides input on ongoing demand and data for the predicted availability (in case of photovoltaic or wind powered environments).