A deregulated energy market is a typical scenario in which software agents are used for simulation and/or application purposes. Agents act on behalf of end users, thus implying the necessity of being aware of multiple aspects connected to the distribution of electricity. These aspects refer to outside world variables like weather, stock market trends, location of the users etc. therefore an architecture highly context aware is needed. We propose a web service integration in which agents contracting energy will automatically retrieve data to be used in adaptive and collaborative aspects, an explicative example, misrepresented 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). The challenge lies in how to correctly use data coming from different sources, since these information are crucial for user profiling and balancing in the short-term contracts in the Smart Grid.

A Context-aware Agent-based Approach for Deregulated Energy Market / Capodieci, Nicola; Alsina, Emanuel Federico; Cabri, Giacomo. - STAMPA. - (2012), pp. 16-21. ((Intervento presentato al convegno 21st IEEE International WETICE Conference, WETICE 2012 tenutosi a Toulouse, France nel June 25-27 [10.1109/WETICE.2012.15].

A Context-aware Agent-based Approach for Deregulated Energy Market

CAPODIECI, NICOLA;ALSINA, EMANUEL FEDERICO;CABRI, Giacomo
2012

Abstract

A deregulated energy market is a typical scenario in which software agents are used for simulation and/or application purposes. Agents act on behalf of end users, thus implying the necessity of being aware of multiple aspects connected to the distribution of electricity. These aspects refer to outside world variables like weather, stock market trends, location of the users etc. therefore an architecture highly context aware is needed. We propose a web service integration in which agents contracting energy will automatically retrieve data to be used in adaptive and collaborative aspects, an explicative example, misrepresented 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). The challenge lies in how to correctly use data coming from different sources, since these information are crucial for user profiling and balancing in the short-term contracts in the Smart Grid.
21st IEEE International WETICE Conference, WETICE 2012
Toulouse, France
June 25-27
16
21
Capodieci, Nicola; Alsina, Emanuel Federico; Cabri, Giacomo
A Context-aware Agent-based Approach for Deregulated Energy Market / Capodieci, Nicola; Alsina, Emanuel Federico; Cabri, Giacomo. - STAMPA. - (2012), pp. 16-21. ((Intervento presentato al convegno 21st IEEE International WETICE Conference, WETICE 2012 tenutosi a Toulouse, France nel June 25-27 [10.1109/WETICE.2012.15].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/721846
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 3
social impact