We’re excited to share another publication from the U2Demo project: “Assessing Explainable AI in Photovoltaic Power Forecasting” by Eduardo Gomes, Augusto Esteves, Hugo Morais and Lucas Pereira – all connected to Inesc-ID or the Lisbon Instituto Superior Técnico. It is published in the Energies journal, with open access.
This study explores how Explainable AI (XAI) can improve photovoltaic (PV) power forecasting, offering greater transparency and accuracy in predicting energy generation based on weather data.
As we work towards more intelligent and decentralized energy systems, integrating trustworthy AI-driven forecasting is key to ensuring efficient energy management within peer-to-peer energy communities.
Read the full article on our publications page.