Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuyan Dai"'
Publikováno v:
IEEE Access, Vol 7, Pp 160660-160670 (2019)
The importance of conducting potential analysis of load data and ensuring the effectiveness of feature selection cannot be overstated when it comes to enhancing the accuracy of short-term power load forecasting. Bisecting K-Means Algorithm is adopted
Externí odkaz:
https://doaj.org/article/516d5965211944b892c568e8863838fd
Autor:
Jianqiang Li, Cheng Wang, Jie Chen, Heng Zhang, Yuyan Dai, Lingwei Wang, Li Wang, Asoke K. Nandi
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:1516-1528
National Key R&D Program of China under Grant 2020YFA0908700; National Nature Science Foundation of China under Grants 62073225, 62072315, 61836005 and 62006157; Natural Science Foundation of Guangdong Province-Outstanding Youth Program under Grant 2
Publikováno v:
Neural Computing and Applications.
Hypertension is a primary or contributing cause for premature death in the entire world. As a matter of fact, there is a high prevalence and low control rates in low- and middle-income countries, such that the prevention and treatment of hypertension
Publikováno v:
IET Generation, Transmission & Distribution. 13:3847-3854
Accurate power load forecasting is of great significance to ensure the safety, stability, and economic operation of the power system. In particular, short-term power load forecasting is the basis for grid planning and decision making. In recent years
Publikováno v:
IEEE Access, Vol 7, Pp 160660-160670 (2019)
The importance of conducting potential analysis of load data and ensuring the effectiveness of feature selection cannot be overstated when it comes to enhancing the accuracy of short-term power load forecasting. Bisecting K-Means Algorithm is adopted
Publikováno v:
2019 Chinese Automation Congress (CAC).
Neural network models have been widely used in natural language processing (NLP). Recurrent neural network (RNNs) has proved to be a powerful sequence model. Gated recurrent unit (GRU) is one kind of RNNs which has achieved excellent performance in N
Publikováno v:
Artificial Intelligence in Medicine. 101:101747
As new human-computer interaction technology, brain-computer interface has been widely used in various fields of life. The study of EEG signals cannot only improve people's awareness of the brain, but also establish new ways for the brain to communic
Publikováno v:
2018 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (Wow).
The difficulty of modeling a dynamic wireless power transfer (DWPT) system for Electric Vehicles(EVs) charging is that its mutual inductance changes with the coil offset, so we have to build a dynamic model of the system. In this paper, we propose a
Publikováno v:
IET Generation, Transmission & Distribution (Wiley-Blackwell). 2019, Vol. 13 Issue 17, p3847-3854. 8p. 3 Diagrams, 4 Charts, 10 Graphs.