Prompt-only LLMs give basic but transferable NILM state detection (F1 0.44-0.61, below deep learning's 0.73-0.88) with readable explanations and zero retraining.
Nonintrusive load monitoring (nilm) performance evaluation: A unified approach for accuracy reporting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring
Prompt-only LLMs give basic but transferable NILM state detection (F1 0.44-0.61, below deep learning's 0.73-0.88) with readable explanations and zero retraining.