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The energy sector could be deeply affected by new developments in Artificial intelligence (AI). This is especially true when it comes to renewable energies, which play an important role for future developments in the context of climate change and resource depletion on a global scale. AI can help the management of energy production and consumption, as the variability of renewable sources clearly represents a huge challenge. In this context, AI can provide predictive analysis, identify patterns and reduce the storage costs, while finding the best connectivity solutions between grids and users. All these things make it possible to achieve not only grid stability, but also reliability and sustainability in the long term, which are keys to optimize the use of renewable energy. For all these reasons, finding the best options to integrate AI in the energy field would be a real asset for the European Union, which faces a complex scenario after the invasion of Ukraine and the launch of economic sanctions against Russia, but also in the light of the ambitious goals set in order to reduce the impact of climate change and global warming. 

The path to increase the use of AI associated with renewable energy leads to a better integration on the whole specter of platforms, from the domestic ones to the national grids, but also to the development of tools and an ecosystem of data that will provide informations and services for optimizing all the infrastructures involved in the process. On the EU level, all these features need to be discussed and approved on the political level, a dynamic that demands a common vision among the member States and a deep understanding of the developments envisioned in an energy strategy relying on AI for the future.

Written by: Francesco Marino