Gu, Danzhen; Ai, Qian; Chen, Chen; Shen, Shande Application of adaptive neural network in dynamic load modeling. (Chinese. English summary) Zbl 1174.93314 Proc. CSEE 27, No. 16, 31-36 (2007). Summary: Artificial Neural Network (ANN) is an effective way in electric power system load modeling. The paper presents an Adaptive Back-Propagation network (ABP), which modifies learning rate and momentum by using fuzzy logical theory. The structure of network is optimized by a self-structure learning algorithm. The model is applied to field tests data and the identification effect is also verified. Furthermore, some factors, such as network orders and hidden neuron numbers, are discussed in load modeling. MSC: 93A30 Mathematical modelling of systems (MSC2010) 68T05 Learning and adaptive systems in artificial intelligence 92B20 Neural networks for/in biological studies, artificial life and related topics Keywords:load models; adaptive back-propagation; fuzzy theory; self-structure-learning algorithm PDFBibTeX XMLCite \textit{D. Gu} et al., Proc. CSEE 27, No. 16, 31--36 (2007; Zbl 1174.93314)