Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (4): 1328-1336.doi: 10.16182/j.issn1004731x.joss.201804015
Previous Articles Next Articles
Sun Tao, Ji Shaoxiong
Received:
2015-05-19
Revised:
2016-12-20
Online:
2018-04-08
Published:
2019-01-04
CLC Number:
Sun Tao, Ji Shaoxiong. Modeling and Simulation on Delay of Central Heating System for Temperature Prediction[J]. Journal of System Simulation, 2018, 30(4): 1328-1336.
[1] 贺平, 孙刚. 供热工程[M]. 4版. 北京: 中国建筑工业出版社, 2009. Ping He, Gang Sun.Heating Engineering[M]. 4th edition. Beijing: China Architecture & Building Press, 2009. [2] 刘满平. 供热工程[M]. 北京: 中国建材工业出版社, 2013. Manping Liu.Heating Engineering[M]. Beijing: China Architecture & Building Press, 2013. [3] Bass M S, Batukhtin A G.An Integrated Approach for Optimizing the Operation of Modern Heat Supply Systems[J]. Thermal Engineering(S0040-6015), 2011, 58(8): 678-679. [4] 文翰. 基于最小二乘法的热负荷预测的研究与应用[D]. 大连海事大学, 2014: 12-17. Wen Han.The research and application of heating load forecast based on the least square method[D]. Dalian Maritime University, 2014:12-17. [5] 李琦, 李梅. PSO优化在供热网络控制中的应用研究[J]. 计算机仿真, 2013, 30(12): 294-297. Li Qi, Mei Li.Study and Application of PSO in Heating Network Control[J]. Computer Simulation, 2013, 30(12): 294-297. [6] 高丙坤, 李阳, 许明子. 优化粒子群算法在组合供热负荷预测中的应用[J]. 信息与电子工程, 2012, 9(5): 655-659. Gao Bingkun, Li Yang, Xu Mingzi.Application of particle swarm optimization algorithm in the heating load combination forecasting[J]. Information and Electronic Engineering, 2012, 9(5): 655-659. [7] 张永明, 陈烈, 齐维贵. 基于支持向量区间回归的供热负荷概率预报[J]. 吉林大学学报(工学版), 2010, 40(6): 1693-1697. Zhang Yongming, Chen Lie, Qi Weigui.Probabilistic prediction approach of heat load based on support vector interval regression[J]. Journal of Jilin University (Enginering and Technology Edition), 2010, 40(6): 1693-1697. [8] 王美萍, 田琦, 张佼. 模糊耦合神经网络的系统供热预测研究[J]. 太原理工大学学报, 2015, 45(4): 485-489. Wang Meiping, Tian Qi, Zhang Jiao.Research on Heat Forecasting Based on Fuzy Neural Network[J]. Journal of Taiyuan University of Technology, 2015, 45(4): 485-489. [9] 崔高健, 凡东生, 曲永利. 基于Elman型神经网络集中供热负荷预测模型的研究[J]. 建筑节能, 2011(3): 9-11. Cui Gaojian, Fan Dongsheng, Qu Yongli.Load Predication Model of District Heating System Based on Elman Neural Network[J]. Building Energy Efficiency, 2011(3): 9-11. [10] 谢慕君, 冯敬芳, 姜长泓. 集中供热二次网回水温度的预测和控制研究[J]. 控制工程, 2015, 22(2): 291-295. Xie Mujun, Feng Jingfang, Jiang Changhong.Research of Secondary Network Backwater Temperature Forecast and Control for Centralized Heat-supply System[J]. Control Engineering of China, 2015, 22(2):291-295. [11] 冯敬芳, 谢慕君, 步伟明, 等. 基于神经网络集中供热二次回水温度预测研究[J]. 计算机仿真, 2014, 31(3): 351-354. Feng Jingfang, Xie Mujun, Bu Weiming, et al.Research on Secondary Network Backwater Temperature Forecast for Centralized Heat-Supply System Based on Neural Network[J]. Computer Simulation, 2014, 31(3):351-354. [12] 刘兰斌, 江亿, 付林, 等. 供暖末端通断调节系统仿真模型介绍[J]. 建筑科学, 2010, 26(10): 310-317. Liu Lanbin, Jiang Yi, Fu Lin, et al.An introduction to the system simulation models of on-off control in the end of heating system[J]. Building Science, 2010, 26(10): 310-317. [13] Chang C C, Lin C J.LIBSVM: A library for support vector machines[J]. ACM Transactions on Intelligent Systems & Technology(S2157-6904), 2011, 2(3): 389-396. [14] Suykens J A K, Vandewalle J. Least Squares Support Vector Machine Classifiers[J]. Neural Processing Letters (S1370-4621), 1999, 9(3): 293-300. [15] Ding S, Chang X H, Wu Q H.A Study on Approximation Performances of Improved BP Neural Networks Based on LM Algorithms[J]. Applied Mechanics & Materials(S1662-7482), 2013(411/412/ 413/414): 1935-1938. |
[1] | Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang. Image Center Layout Optimization Method Based on Improved Genetic Algorithm [J]. Journal of System Simulation, 2022, 34(6): 1173-1184. |
[2] | Bin Chen, Yue Liu, Yalei Yang. Airport Flight Transit Support Time Collaborative Planning Modeling Based on STN [J]. Journal of System Simulation, 2022, 34(6): 1196-1207. |
[3] | Kai Yang, Chunyi Chen, Xiaojuan Hu, Haiyang Yu. Denoising Algorithm Based on Multi-feature Non-local Mean Filtering for Monte Carlo Rendered Images [J]. Journal of System Simulation, 2022, 34(6): 1259-1266. |
[4] | Qi Chen, Haoyang Cui. Visual inspection model of UAV cluster based on improved pigeon flock hierarchy [J]. Journal of System Simulation, 2022, 34(6): 1275-1285. |
[5] | Muqing Wang, Lei Zhang, Xiumin Fan, Xiaomeng Luo, Wenmin Zhu. Simulation Method of Virtual Human Pose Optimization Based On VR Peripherals [J]. Journal of System Simulation, 2022, 34(6): 1296-1303. |
[6] | Cheng Lu, Xuesheng Jin. Design of Interactive Simulated Water Gun Fire Fighting Training System Based on Steam VR [J]. Journal of System Simulation, 2022, 34(6): 1312-1319. |
[7] | Hongnai Gao, Lijiang Fu, Qian Xia, Ya Guo. Application of Observability in Performance Evaluation of Photosynthesis Model [J]. Journal of System Simulation, 2022, 34(6): 1330-1342. |
[8] | Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang. Research on Fire Emergency Evacuation Simulation Based on Cooperative Deep Reinforcement Learning [J]. Journal of System Simulation, 2022, 34(6): 1353-1366. |
[9] | Dun Meng, Zhuo Hu, Huajun Zhang. Simulation of Multi-layer Ship Evacuation System Based on Improved A* Algorithm [J]. Journal of System Simulation, 2022, 34(6): 1375-1382. |
[10] | Yufei Guo, Kang Zhao, Yongqing Hai. Triangular Mesh Boolean Operation Method for Finite Element Analysis [J]. Journal of System Simulation, 2022, 34(5): 1003-1014. |
[11] | Tong Wu, Qinghui Wang, Zhijia Xu. Study on the Scale Characteristics of Permeability of TPMS Porous Materials [J]. Journal of System Simulation, 2022, 34(5): 1015-1024. |
[12] | Yangsheng Jiang, Sichen Wang, Kuan Gao, Meng Liu, Zhihong Yao. Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon [J]. Journal of System Simulation, 2022, 34(5): 1025-1032. |
[13] | Jiangtao Liang, Huiqin Wang. Study on Building Fire Evacuation Path Planning Based on Improved Ant Colony Algorithm [J]. Journal of System Simulation, 2022, 34(5): 1044-1053. |
[14] | Qiwen Zhang, Bin Zhang. Teaching-Learning-Based Optimization Algorithm for Permutation Flowshop Scheduling [J]. Journal of System Simulation, 2022, 34(5): 1054-1063. |
[15] | Genshang Xing, Fang Lu, Shushan Li, Dingti Luo. Supply Chain Delivery Model and Simulation Based on Product Experience [J]. Journal of System Simulation, 2022, 34(5): 1064-1075. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||