The rapid growth of renewable energy sources is accelerating the transition towards decentralised electricity systems. However, the variable nature of such sources and user consumption profiles present a significant challenge to achieving a sustainable energy balance. This paper introduces an innovative software system for adaptive energy management in Energy Communities, where a data-driven aggregator collects energy data, defines flexible threshold-based balancing strategies, and coordinates user actions by means of a gamified mobile application. Hence, users would become active participants in the balancing process. We evaluated the proposed system using simulations based on publicly available data. The results showed that our system can be effectively used to address energy fluctuations through coordinated data-driven responses, harnessing the potential of a renewable energy infrastructure.

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User Engagement and Adaptive Optimisation in Renewable Energy Communities

  • Daniele Marletta,
  • Erika Scaletta,
  • Emiliano Tramontana

摘要

The rapid growth of renewable energy sources is accelerating the transition towards decentralised electricity systems. However, the variable nature of such sources and user consumption profiles present a significant challenge to achieving a sustainable energy balance. This paper introduces an innovative software system for adaptive energy management in Energy Communities, where a data-driven aggregator collects energy data, defines flexible threshold-based balancing strategies, and coordinates user actions by means of a gamified mobile application. Hence, users would become active participants in the balancing process. We evaluated the proposed system using simulations based on publicly available data. The results showed that our system can be effectively used to address energy fluctuations through coordinated data-driven responses, harnessing the potential of a renewable energy infrastructure.