发表论文 |
1. Xue Puning, He Huamei, Ning Baisong, Zhou Zhigang, Wu Qing, Zhao Zeming, Liu Jing. A dynamic thermal simulation method encompassing all functional components of source, network, substation, and user for large-scale district heating systems [J]. Applied Thermal Engineering, 2026, 289: 129782. (SCI, 第一作者) 2. Xue Puning, Zhou Zhigang, Liu Jing, Chen Xin. A sensor layout optimization method for district heating network based on sensitivity analysis [J]. Energy and Buildings, 2025, 329: 115240. (SCI, 第一作者) 3. Xue Puning, Shi Luyang, Zhou Zhigang, Liu Jing, Chen Xin. An online fault detection and diagnosis method of sensors in district heating substations based on long short-term memory network and adaptive threshold selection algorithm [J]. Energy and Buildings, 2024, 308: 114009. (SCI, 第一作者) 4. Xue Puning, Jiang Yi, Zhou Zhigang, Chen Xin, Fang Xiumu, Liu Jing. Machine learning-based leakage fault detection for district heating networks [J]. Energy and Buildings, 2020, 223: 110161. (SCI, 第一作者) 5. Xue Puning, Jiang Yi, Zhou Zhigang, Chen Xin, Fang Xiumu, Liu Jing. Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms [J]. Energy, 2019, 188: 116085. (SCI, 第一作者) 6. Xue Puning, Zhou Zhigang, Fang Xiumu, Chen Xin, Liu Lin, Liu Yaowen, Liu Jing. Fault detection and operation optimization in district heating substations based on data mining techniques [J]. Applied Energy, 2017, 205: 926-940. (SCI, 第一作者) 7. Ning Baisong, Zheng Dingyi, Wang Yang, Xue Puning*. Re-evaluation of the cooling load differences between radiant and all-air systems: Which one is higher? [J]. Energy and Buildings, 2026, 352: 116789. (SCI, 通信作者) 8. Guo Yabin, Zhang Zheng, Liu Yaxin, Wang Yuhua, Xue Puning*. An advanced ensemble clustering approach for data partitioning and mining to optimize performance in variable refrigerant flow systems [J]. Journal of Building Engineering, 2023, 78: 107716. (SCI, 通信作者) 9. Xue Puning, Zhou Zhigang, Chen Xin, Liu Jing. An application of data mining in district heating substations for improving energy performance [C]. E3S Web of Conferences, 2017, 22: 00192. (CPCI, 第一作者) 10. 薛普宁, 周志刚, 蒋毅, 陈昕, 方修睦, 刘京. 基于机器学习的供热系统热负荷多步递归预测[J]. 煤气与热力, 2019, 39(7): A20-A27. (第一作者) |