Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III
To reduce engine pollutant emissions, an emission modeling and optimization scheme based on a hybrid artificial intelligence scheme is proposed in this study to reduce pollutant emissions of methanol/diesel dual-fuel engines under low load. Firstly, a data cleaning method based on isolated forest an...
Saved in:
| Main Authors: | Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546824001320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing
by: Youlong Lyu, et al.
Published: (2025-05-01) -
Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU
by: GAO Wendi, et al.
Published: (2025-04-01) -
Design and implementation of information system for vocational education quality assessment based on CNN-BiGRU
by: Yuhui Xu, et al.
Published: (2025-12-01) -
ResCapsnet: a capsule network with CRAM and BiGRU for sound event detection
by: Bing Sun, et al.
Published: (2025-06-01) -
Research on Medical Text Parsing Method Based on BiGRU-BiLSTM Multi-Task Learning
by: Yunli Fan, et al.
Published: (2024-11-01)