Special Issue Paper
Context-awareness in the deregulated electric energy market: an agent-based approach
Article first published online: 11 MAR 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Concurrency and Computation: Practice and Experience
How to Cite
Capodieci, N., Alsina, E. F. and Cabri, G. (2013), Context-awareness in the deregulated electric energy market: an agent-based approach. Concurrency Computat.: Pract. Exper.. doi: 10.1002/cpe.3011
- Article first published online: 11 MAR 2013
- Manuscript Accepted: 21 JAN 2013
- Manuscript Revised: 7 JAN 2013
- Manuscript Received: 26 DEC 2012
- Smart Grids;
- intelligent agent;
- adaptation model;
- renewable energy
Multiagent 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 the outside world variables such as weather, stock market trends, location of the users, government actions, and so on; 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 modeling 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). Copyright © 2013 John Wiley & Sons, Ltd.