Name
Abstract | ||
|---|---|---|
The increasing demand for energy has stimulated the formulation of plans aiming at shifting to renewable energies, not only to save money, but also for the responsibility that the present population has towards future generations. Within this scenario, ICT solutions will help the citizens in saving energy: people of a community that have power's over-production can take benefits in terms of gain by selling the excess energy to neighbourhood instead of power suppliers due to the fees that they have to pay in the latter case. On the other hand, citizens that need additional energy can buy it from sellers in the neighbourhood at favorable prices. In this paper we present an agent-based framework that allows the collection of data about energy consumption in a neighbourhood and the negotiation of the whole produced/consumed energy among the involved parties in order to maximize the profits of the community. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10422-5_8 | Studies in Computational Intelligence |
Keywords | Field | DocType |
Multi-Agent Systems,Energy Market,Smart Grid | Population,Renewable energy,Smart grid,Energy market,Neighbourhood (mathematics),Distributed generation,Energy consumption,Environmental economics,Negotiation,Business | Conference |
Volume | ISSN | Citations |
570.0 | 1860-949X | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Tasquier | 1 | 67 | 7.94 |
| Marco Scialdone | 2 | 28 | 6.99 |
| Rocco Aversa | 3 | 602 | 56.19 |
| Salvatore Venticinque | 4 | 694 | 74.23 |