Methods of Explainable Artificial Intelligence (XAI), Trustworthy Artificial Intelligence (TAI) and Interpretable Machine Learning (IML) in Renewable Energy

In recent years, tendency to renewable energy resources has increased considerably in order obtain cleaner energy. The effect of the decisions taken by artificial intelligence models on efficiency is very important transformation these resources. With eXplainable Artificial Intelligence (XAI), various methods have been developed for trust, transparency and decision making models, but more need be this area decision-making mechanisms increase confidence performance, evaluation explanations. aims study are review analyze how RE systems can benefit from XAI applications with some criticisms. results shown that a new topic requires attentions applied critical improve trust transparency.