A price-aware dynamic decision system in energy communities

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.