Overview
Combines learned temporal memory with physical guidance to improve the reliability of building-energy modeling.
Research context
This work contributes to Time Series & Energy. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.
BibTeX
@article{PhysicsGuidedMemoryNetwork2025,
title = {Physics-Guided Memory Network for Building Energy Modeling},
author = {M. U. Danish, K. Ali, K. Siddiqui,, K. Grolinger},
year = {2025},
journal = {Energy and AI},
doi = {10.1016/j.egyai.2025.100538}
}