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Scheduled adaptive recalibration for sustainable and accurate demand forecasting in urban building energy management

delete2026-08-07
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OA
AI
X
Xiufeng Liu
R
Ruyu Liu *
C
Chunting Liu *
P
Per Sieverts Nielsen
DOI:10.1016/j.scs.2026.107783delete
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Abstract

Abstract

En 中文
• Adaptive GAN-PSO framework for urban building energy demand forecasting. • PSO tunes eight WGAN-GP hyperparameters in a scheduled offline recalibration. • Validation-calibrated blending with GBM lowers MAE and RMSE across horizons. • Evaluated on 20 ASHRAE Panther buildings at 1 h to 672 h horizons. • Lower forecast dispersion cuts reserve-related committed energy and CO2.
Keywords:
Energy forecasting
Scheduled adaptation
Generative Adversarial Network (GAN)
Particle Swarm Optimization (PSO)
Sustainable energy management

Journal

Sustainable Cities and Society cover
Sustainable Cities and Society
IF:
12
Papers:
7.7K
Citations:
5.2W

Organization

T
Technical University of Denmark
Scholars:
2.3K
Papers: 886
Citations: 1
B
beijing information science and technology university
Scholars:
369
Papers: 153
Citations: 0
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