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papersSEP 12 04:00 UTC

Conversational XAI interface aims to help operators interpret energy forecasting models

Researchers propose a chat-based explainability assistant designed to help building operators and facility managers understand predictions from complex energy consumption models, including symbolic regressors built with genetic programming. The tool is presented as a way to make model outputs more accessible to non-experts who manage energy use.

building-energy-management conversational AI energy-forecasting explainable-ai genetic-programming symbolic-regression

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGExplainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models ↗SEP 11 04:00 UTC

arXiv cs.AIExplainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models ↗SEP 12 04:00 UTC