个人信息：
宋建材，男，副教授，高级工程师，信息工程学院
教育背景：
（1）2011.09-2016.12：天津大学，信息与通信工程，博士；
（2）2003.09-2006.04：中国舰船研究院，导航制导与控制专业，硕士；
（3）1999.09-2003.07：河北工业大学，计算机科学与技术专业，本科。
联系方式：songjiancai@tjcu.edu.cn
学科领域：
人工智能，智慧冷链，智慧供热
代表性论文：
1. Song Jiancai, Bian Tianxiang, Xue Guixiang, Wang Hanyu, Shen Xingliang, Wu Xiangdong,. Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network [J]. Applied Energy, 2023, 348: 121559.
2. Song Jiancai, Zhang Liyi, Jiang Qingling, Ma Yunpeng, Zhang Xinxin, Xue Guixiang, Shen Xingliang, Wu Xiangdong. Estimate the daily consumption of natural gas in district heating system based on a hybrid seasonal decomposition and temporal convolutional network model [J]. Applied Energy, 2022, 309(118444).
3. Song Jiancai, Zhang Liyi, Xue Guixiang, Ma Yunpeng, Gao Shan., Jiang Qingling. Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model [J]. Energy and Buildings, 2021, 243
4. Xue Guixiang, Zhang Yahui, Yu Shi-Ang, Song Jiancai. Daily residential heat load prediction based on a hybrid model of signal processing, econometric model, and support vector regression [J]. Thermal Science and Engineering Progress, 2023, 43: 102005.
5. Song Jiancai, Li Wen, Zhu Shuo, et.al. Predicting hourly heating load in district heating system based on the hybrid Bi-directional long short-term memory and temporal convolutional network model [J]. Journal Of Cleaner Production, 2024, 463: 142769.
6. Ma Yunpeng, Zhang Xinxin, Song Jiancai, Chen Lei. A modified teaching-learning-based optimization algorithm for solving optimization problem [J]. Knowledge-Based Systems, 2021, 212
7. Xue Guixiang, Qi Chengying, Li Han, Kong Xiangfei, Song Jiancai, Heating load prediction based on attention long short term memory: A case study of Xingtai [J]. Energy, 2020, 203
8. 宋建材,侯春萍,薛桂香.基于EKF的GNSS接收机自主完好性监测方法[J].天津大学学报(自然科学与工程技术版),2017,50(04):405-410.
科研项目：
1.主持，基于人工智能的集中供热负荷预测与动态调控关键技术研究(19JCTPJC51000)，天津市科技局优秀特派员项目，2019
2.合作单位主持，基于大数据的社区韧性评估与风险防控智能平台研发，天津市重点研发计划项目，2020
3.参与，城市智慧供热大数据管理平台，工信部大数据产业发展试点示范项目，2020，排名第3
4.参与，锂离子电池状态监测的无线传感网关键技术研究（19JCTPJC51400），天津市科技局优秀特派员项目，2019，排名第2
获奖成果：天津市科技进步三等奖
团队成员：陈雷，马云鹏
