硕士生导师
硕士生导师
集成电路科学与工程学院导师简介——宫铭举
2024-03-20 17:51      审核人:

姓名

宫铭举

出生年月

1978.11


性别

学历学位

博士

职称

副教授

导师类型

硕导

联系电话

13622068295

所属学院

集成电路科学与工程学院

E-mail

gmj790@163.com

人才称号

青岛市科技未来之星

学术兼职

Energy , Applied Energy 等国际TOP期刊审稿人


招生专业

信息与通信工程(学硕招生)

通信工程(专硕招生)、集成电路工程(专硕招生)

研究方向

深度学习、物联网低功耗设备研发、可见光通信

代表性学术成果:

科研项目:

1. 基于NB-IoT的远程监测可检测漏水量和漏水速度的终端装置,科技成果转化,2022.10-2023.5,主持

2. 基于有限体积法的水动力新软件开发,横向科研项目,2022.11-2023.12,主持

3. 基于大数据与深度学习的区域供热节能技术研究,青岛市科技局项目,2020.12- 2022.11,主持

4. 面向NB-ioT的云服务器通信并发性研究,天津市科委项目,2019.9-2021.10,主持;

5. 基于GPRS的数据采集及远传系统样机研发,横向科研项目,2018.3-2021.2,主持;

6. 船舶自动识别系统误包率测量与关键技术研究,天津市高等学校科技发展基金,2014.9-2018.8,主持;

7. 定制板件生产现场管理智能软件研发,横向科研项目,2019.11-2020.10,主持;

8. 参与完成 4项国家自然科学基金项目

9. 作为唯一指导教师完成两项大学生创新性实践计划项目(国家级): 基于NBIOT的通信并发性与数据安全研究(2018-2019)、多功能报警器(2014-2015)


科研论文:

1. Gong   Mingju* , Zhao   Yin, Sun Jiawang, Han Cuitian, etc., Load forecasting of   district heating system based on Informer, Energy, Vol.253, Aug,2022 (1SCI: 1Y2ZJ ,IF: 9,   Top Journal

2. Gong   Mingju* , Yan   Changcheng, Xu Wei, Zhixuan Zhao,   etc., Short-term wind power forecasting model based on temporal convolutional   network and Informer, Energy,Vol.283, Nov,2023 (1SCI: U2WL2,IF: 9, Top Journal

3. Yin   Zhao, Gong   Mingju*, Jiawang Sun,   Cuitian Han, Lei Jing, Bo Li, Zhixuan Zhao. A new hybrid optimization   prediction strategy based on SH-Informer for district heating system[J]. Energy, Vol.282, Nov,2023.1SCI:   T0HC9, IF: 9, Top Journal

4. Gong   Mingju, Liu yan, Sun   Jiawang*. Intelligent control of district heating system based on RDPG[J]. Engineering   Applications of Artificial Intelligence,Dec, 2023. (2SCI, IF:8, Top   Journal)

5. Sun   Jiawang, Gong   Mingju*, Zhao Yin,   Han Cuitian, Jing Lei, Yang Peng, A hybrid deep reinforcement learning   ensemble optimization model for heat load energy-saving prediction , Journal   of building engineering ,   1-25, Oct, 20222SCI:4P2WRIF:6.4

6. Gong   Mingju*;Wang Jin;Bai   Yin; Li Bo; Zhang Lei; Heat Load Prediction of Residential Buildings Based on   Discrete Wavelet Transform and Tree-based Ensemble Learning [J], Journal   of Building Engineering,   2020,32. (3 SCI:OP4LDIF:5.318 )

7. Gong   Mingju*, Bai Yin, Qin   Juan, Wang Jin, Yang Peng, Wang Sheng. Gradient boosting machine for   predicting return temperature of district heating system: A case study for   residential buildings in Tianjin[J]. Journal   of Building Engineering,   2020, 27. (3 SCI:JV4UQ IF:5.318)

8. Gong   Mingju, Li   Wenxiang,Changcheng Yan,Yan Liu,Sheng Li,Zhixuan Zhao,Wei Xu*. Wind power forecasting based on   SCINet,reversible instance normalization, and knowledge distillation[J].Journal   of Renewable and Sustainable Energy,Vol.15,Issue 6,SEP,2023 (4   SCI:X7HP1, IF:2.5)

9. Gong   Mingju*, Zhou Haojie,   Wang Qilin, Wang Sheng, Yang Peng. District heating systems load forecasting:   a deep neural networks model based on similar day approach[J]. Advances   in Building Energy Research,2020,14(3):372-388.   EI: 20191806849190

10. Bai   Yin, Gong   Mingju*, Wangjin, Li   Bo, Zhang Lei. A temperature control strategy to achieve low-temperature   district heating in North China[J]. International   Journal of Sustainable Energy Planning and Management (IJSEPM), 2020, 25: 3-12. (EI: 20200608133450 )

11. Gong   Mingju*,Sun Jiawang,Zhao   Yin, Han Cuitian, Yan Bo, Sun Guannan.A hybrid energy-saving prediction model   based on SSA-DNN for district heating system[J].Advances   in Building Energy Research,2023,17(1):30-52.   EI: 20224713154975

12. Han,C.(Han   Cuitian); Gong,M.(Gong   Mingju)*; Sun,J. ;   Zhao,Y. ; Jing,L. ; Dong,C. ; Zhao,Z. . Heat load prediction for district heating systems with temporal   convolutional network and CatBoost[J].Thermal   Engineering, 2023.9,   70(9),719-726, (EI:20233714699999)

13. Gong   Mingju*,Han   Cuitian,Sun Jiawang, Zhao Yin, Li Sheng, Xu Wei. Heat load prediction of   district heating systems based on SCSO-TCN[J].Thermal   Engineering, (已录用)

授权专利:

1. 一种基于大数据的减少区域供暖系统能耗的方法,中国,专利号:ZL   201910203144.X

2. 基于SD-LSTMs的公寓独立供热系统需热量预测及节能控制方法,中国,专利号:ZL   202110540123.4

3. 一种基于SD-DNNs的区域供热系统短期负荷预测方法,中国,专利号:ZL   201910203583.0

4. 基于NB-IoT远程监测的能够检测漏水量和漏水速度的终端装置,中国,专利号:ZL2021103890880,  

5. 一种基于视频跟踪的悬垂控制器,中国,专利号:ZL2017102800471