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A novel mixture of experts framework with dynamic case-based retrieval for real-time multi-step NOx forecasting and optimization of utility boilers

delete2026-07-30
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PRE
AI
G
Guangting Liao
C
Cong Yu *
L
Lai Wei
W
Wei Fan
H
Haiquan Yu
S
Shuxian Wang
DOI:10.1016/j.energy.2026.142091delete
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Abstract

Abstract

En 中文
• A residual fusion mixture of experts framework for multi-step NOx forecasting. • Dynamic case-based retrieval for fast optimization of utility boiler control. • Minimizes both the mean and slope of future NOx predictions. • Achieves real-time decision-making with a response time of milliseconds. • Demonstrates a 15% reduction in NOx emissions on a 660 MW utility boiler.

Journal

Energy cover
Energy
IF:
9.4
Papers:
4.2W
Citations:
20.2W

Organization

N
Nanjing Vocational University of Industry Technology
Scholars:
331
Papers: 356
Citations: 0
J
Jianghan University
Scholars:
915
Papers: 359
Citations: 4.4K
J
Jiangsu University of Science and Technology
Scholars:
5.6K
Papers: 2.0K
Citations: 263
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