基本情况：

姓名：  宫铭举

学历学位：博士研究生

职称：副教授

研究方向： 深度学习、物联网低功耗设备研发、可见光通信

邮箱：gmj790@163.com

办公地点：29-307

可招收硕博专业：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）

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)。

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 (1区SCI: 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 (1区SCI: 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.（1区SCI: 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. (2区SCI, 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, 2022（2区SCI:4P2WR，IF: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区 SCI:OP4LD，IF: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区 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区 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）

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