ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.16632
  4. Cited By
Opening the Black Box: Towards inherently interpretable energy data
  imputation models using building physics insight

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight

28 November 2023
Antonio Liguori
Matias Quintana
Chun Fu
Clayton Miller
J. Frisch
C. Treeck
    AI4CE
ArXivPDFHTML

Papers citing "Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight"

2 / 2 papers shown
Title
Physically Consistent Neural Networks for building thermal modeling:
  theory and analysis
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
PINN
AI4CE
57
84
0
06 Dec 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
236
208
0
21 Oct 2021
1