Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mingping Liu"'
Publikováno v:
IEEE Access, Vol 11, Pp 890-899 (2023)
In this paper, a novel approach to classify the signals of power quality (PQ) disturbance is proposed based on segmented and modified S-transform (SMST), deep convolutional neural network (DCNN), and multiclass support vector machine (MSVM). The idea
Externí odkaz:
https://doaj.org/article/f3eeae969bfa4e139d291ac5173ec0d9
Publikováno v:
Energies, Vol 17, Iss 1, p 95 (2023)
A stable and reliable power system is crucial for human daily lives and economic stability. Power load forecasting is the foundation of dynamically balancing between the power supply and demand sides. However, with the popularity of renewable energy
Externí odkaz:
https://doaj.org/article/078887194c244285b4f940b0349a82c9
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12479 (2023)
Due to difficulties with electric energy storage, balancing the supply and demand of the power grid is crucial for the stable operation of power systems. Short-term load forecasting can provide an early warning of excessive power consumption for util
Externí odkaz:
https://doaj.org/article/b069459c5ba34ff78964f9183da7f1d2
Publikováno v:
IEEE Access, Vol 10, Pp 115945-115957 (2022)
With the grid-connected application of renewable energy sources such as wind and photovoltaic power, the nonlinearity and fluctuation of load data makes load forecasting more difficult than ever before. In order to extract the implicit relationship b
Externí odkaz:
https://doaj.org/article/2626d4b4b8b24b928ca98dd3ca3959e3
Publikováno v:
Energies, Vol 16, Iss 14, p 5330 (2023)
Accurate and efficient short-term power load forecasting is crucial for ensuring the stable operation of power systems and rational planning of electricity resources. However, power load data are often characterized by nonlinearity and instability du
Externí odkaz:
https://doaj.org/article/904d661283fa46d2951a951ba5ab4b8f
Publikováno v:
Energies, Vol 15, Iss 19, p 7170 (2022)
Short-term load forecasting (STLF) has a significant role in reliable operation and efficient scheduling of power systems. However, it is still a major challenge to accurately predict power load due to social and natural factors, such as temperature,
Externí odkaz:
https://doaj.org/article/060f8147fe724450904e1542837a4ba5
Publikováno v:
Electric Power Systems Research. 216:109057
Publikováno v:
Electric Power Systems Research. 212:108664
Publikováno v:
Journal of the Optical Society of America. A, Optics, image science, and vision. 38(1)
In light-sheet fluorescence microscopy (LSFM), using Gaussian beams for light-sheet generation results in a trade-off between the thickness and the field of view (FOV). Here we present a theoretical analysis of using spherical aberration to enlarge t
Publikováno v:
Physics of Plasmas. 29:023101