中国矿业大学主页平台系统彭献永--中文主页--科学研究

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徐世明,何至谦,彭献永,商忠宝,范景玮,王俊略,曲舒杨,刘洋,周怀春.基于CNN-BiLSTM-SSA的锅炉再热器壁温预测模型,2026,2026年01期:121-130,10
盛稳,徐世明,卢官发,高成,祁晶,彭献永,周怀春.基于KPCA-BiLSTM-GRU的汽轮机主蒸汽流量测量模型,2025,2025年09期:1483-1491+1510,10
Swirski, Konrad,Sladewski, Lukasz,Wojdan, Konrad,彭献永.Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NOx Abatement,2025,卷: 18期: 12
王志,Yin, Yongbo,Li, Kuangyu,刘洋,刘轩奇,彭献永,Zhu, Hang,周怀春.BoilerNet: Deep reinforcement learning-based combustion optimization network for pulverized coal boiler,2025,v 318,
王志,周怀春,彭献永,Cao, Shengxian,Tang, Zhenhao,Li, Kuangyu,Fan, Siyuan,Xue, Wenyuan,Yao, Guojia,Xu, Shiming.A predictive model with time-varying delays employing channel equalization convolutional neural network for NOx emissions in flexible power generation,2024,v 306,
王志,Xue, Wenyuan,Li, Kuangyu,Tang, Zhenhao,刘洋,Zhang, Fan,Cao, Shengxian,彭献永,Wu, Edmond Q.,周怀春.Dynamic combustion optimization of a pulverized coal boiler considering the wall temperature constraints: A deep reinforcement learning-based framework,2025,卷: 259

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