Load predictions for district heating systems based on a WNN model

Qinghua Daxue Xuebao/Journal of Tsinghua University

Volumn 45, Issue 5, 2005, Pages 708-710

  Ma, Tao ^a   Xu, Xiangdong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

District heating; Wavelet analysis; Wavelet neural network (WNN)

Indexed keywords

COMPUTER SIMULATION; FORECASTING; NEURAL NETWORKS; OPTIMIZATION; THERMAL LOAD; WAVELET TRANSFORMS;

WAVELET ANALYSIS; WAVELET NEURAL NETWORK;

DISTRICT HEATING;

EID: 21144433681     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. REN Zhen, HUANG Wenying, HUANG Qungu, et al. Application of Wavelet Analysis to Power System [M]. Beijing: China Power Press, 2003. (in Chinese)
2. SHI Zhaoyu. Operational Regulation and Control of Heating System [M]. Beijing: Tsinghua University Press, 1994. (in Chinese)
3. CHEN Tianping, CHEN Hong. Approximation capability to function of several variables, nonlinear functionals, and operators by radial basis function neural function [J]. IEEE Trans on NN, 1995, 6(4): 904-910.
4. Delyon B, Juditsky A, Benveniste A. Accuracy analysis for wavelet approximations [J]. IEEE Trans on NN, 1995, 6(2): 332-348.
5. Kreinovich V, Sirisaengtaksin O, Cabren S. Wavelet neural networks are asymptotically optimal approximators for functions of one variable [A]. Proceeding of IEEE ICNN'94 [C]. Florida: IEEE, 1994. 299-304.
6. Santoso S, Powers E J, Grady W M, et al. Power quality disturbance waveform recognition using wavelet-based neural classifier-Part 2: Application [J]. IEEE Trans on Power Delivery, 2000, 15(1): 229-235.