Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243744 
Year of Publication: 
2020
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Issue:] 1 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 274-280
Publisher: 
Elsevier, Amsterdam
Abstract: 
This paper deals with the optimal home energy management problem faced by a smart prosumer equipped with PV panels and storage systems. The stochastic programming framework is adopted with the aim of explicitly accounting for the inherent uncertainty affecting the main problem parameters (i.e. generation from renewable energy sources and demands). The problem provides the prosumer with the optimal scheduling of the shiftable loads and operations of the available storage systems that minimizes the expected overall electricity cost. Preliminary results, collected on three different categories of residential prosumers, have shown the effectiveness of the proposed approach in terms of cost saving.
Subjects: 
Home energy management systems
Optimal scheduling
Renewable energy
Stochastic programming
Storage device
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
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