Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
Energy consumption forecasting relies on increasingly complex machine learning (ML) models, such as Genetic Programming-based symbolic regressors, whose predictions can be difficult for facility managers and building operators to interpret. Explainable Artificial Intelligence (XAI) techniques address this opacity, but traditional XAI dashboards require substantial technical expertise and provide…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
