PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThis paper proposes a solution based on Multi Agent System to study a residential Demand Side Management (DSM) program with a centralised approach. It focuses on minimising the cost considering different energy sources, such as photovoltaic panels and energy storage system, while optimally scheduling the appliances that can be shifted in time. The cost minimisation is formulated as a Mixed Integer Linear Programming (MILP) problem. The optimal allocation of the shiftable loads takes into account the modelled users’ preferences that are learnt by means of an algorithm based on an explore-exploit strategy. From the results, it emerges that a win-win situation could be achieved if user preference are considered.These benefits include savings and users’ satisfaction.
A win-win algorithm for aggregated residential energy management: resource optimisation and user acceptance learning / De Vizia, Claudia; Patti, Edoardo; Macii, Enrico; Bottaccioli, Lorenzo. - (2020). ((Intervento presentato al convegno 2020 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2020) tenutosi a Madrid, Spain nel 09-12 June 2020 [10.1109/EEEIC/ICPSEurope49358.2020.9160799].
| Titolo: | A win-win algorithm for aggregated residential energy management: resource optimisation and user acceptance learning | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Abstract: | This paper proposes a solution based on Multi Agent System to study a residential Demand Side Man...agement (DSM) program with a centralised approach. It focuses on minimising the cost considering different energy sources, such as photovoltaic panels and energy storage system, while optimally scheduling the appliances that can be shifted in time. The cost minimisation is formulated as a Mixed Integer Linear Programming (MILP) problem. The optimal allocation of the shiftable loads takes into account the modelled users’ preferences that are learnt by means of an algorithm based on an explore-exploit strategy. From the results, it emerges that a win-win situation could be achieved if user preference are considered.These benefits include savings and users’ satisfaction. | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| ISGT_2020_AGENT_MILP.pdf | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri | |
| 09160799.pdf | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2837815
Copyright © 2021