The optimization of energy demand and response is crucial for several energy distribution applications, especially in autonomous contexts, such as energy communities, employing renewable energy sources. In these frameworks, the overall balance between the produced and consumed energy is important to efficiently regulate generation and loads. For this reason, in this paper, we propose a decision system based on the elastic net regularization, which is able to incorporate the prediction of energy prices in order to optimize the energy unbalance and the cost. We tested this novel method on real-world data, obtaining promising performance.

A price-aware dynamic decision system in energy communities / Di Luzio, F.; Succetti, F.; Rosato, A.; Araneo, R.; Panella, M.. - (2022), pp. 1-6. ((Intervento presentato al convegno 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 tenutosi a Prague; Czech Republic [10.1109/EEEIC/ICPSEurope54979.2022.9854767].

A price-aware dynamic decision system in energy communities

Di Luzio F.;Succetti F.;Rosato A.;Araneo R.;Panella M.
2022

Abstract

The optimization of energy demand and response is crucial for several energy distribution applications, especially in autonomous contexts, such as energy communities, employing renewable energy sources. In these frameworks, the overall balance between the produced and consumed energy is important to efficiently regulate generation and loads. For this reason, in this paper, we propose a decision system based on the elastic net regularization, which is able to incorporate the prediction of energy prices in order to optimize the energy unbalance and the cost. We tested this novel method on real-world data, obtaining promising performance.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1655501
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