Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Guoying Lin"'
Autor:
Qianwei Li, Wenzhao Chai, Xiaoting Wang, Li Cheng, Xin Cai, Jianlei Fu, Wenjun Pan, Guoying Lin
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
PurposeLittle epidemiological data exist on patients with severe infection in the plateau region of China, and the data that do exist are lacking in quality. Using the medical records of patients with severe infection in the Department of Intensive M
Externí odkaz:
https://doaj.org/article/27b7ae1292574b58aa51222952454868
Autor:
Guoying Lin, Xiaofeng Feng, Wenchong Guo, Xueyuan Cui, Shengyuan Liu, Weichao Jin, Zhenzhi Lin, Yi Ding
Publikováno v:
IEEE Access, Vol 9, Pp 124044-124058 (2021)
Electricity theft has been a major concern to the secure operation of power systems and the interests of power companies. Due to the different methods and types of electricity theft behaviors, it is difficult to determine the suspicion levels of cons
Externí odkaz:
https://doaj.org/article/6d7df58ed953431a9835bfd4ba48ec4a
Autor:
Guoying Lin, Haoyang Feng, Xiaofeng Feng, Hongwu Wen, Yuanzheng Li, Shaoyong Hong, Zhixian Ni
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Electricity theft behavior has serious influence on the normal operation of power grid and the economic benefits of power enterprises. Intelligent anti-power-theft algorithm is required for monitoring the power consumption data to recognize electrici
Externí odkaz:
https://doaj.org/article/6f40460e4bc044d491031deef40044ba
Publikováno v:
World Electric Vehicle Journal, Vol 13, Iss 11, p 198 (2022)
Electric vehicles have the advantages of zero emissions and high energy efficiency. They have a broad potential in today’s social life, especially in China where they have been widely used. In the current situation, whereby the storage capacity of
Externí odkaz:
https://doaj.org/article/73f86e50268346cd94441a6d834c4658
Publikováno v:
IEEE Access, Vol 7, Pp 34609-34619 (2019)
With the development of advanced metering infrastructure, massive smart meter readings are generated and stored in smart grids, which makes it possible for detecting of tremendous social value embedded in load data. The majority of the existing load
Externí odkaz:
https://doaj.org/article/4ef91f582bc64be083767d3ebbe36abe
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 1, Pp 66-78 (2017)
In recent years, much attention has been devoted to the development and applications of smart grid technologies, with special emphasis on flexible resources such as distributed generations (DGs), energy storages, active loads, and electric vehicles (
Externí odkaz:
https://doaj.org/article/aed95152470e4a1e8d80447779b88e55
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 13 (2019)
The energy shortage problem cannot be ignored in the development of economics. A demand-side smart energy network is introduced in this paper, which integrates renewable energy resources, energy storage devices, and various types of load into an auto
Externí odkaz:
https://doaj.org/article/6c9d5db3892941aea3295f13dc37eb2c
Publikováno v:
Energies, Vol 13, Iss 21, p 5629 (2020)
Non-Intrusive Load Monitoring (NILM) increases awareness on user energy usage patterns. In this paper, an efficient and highly accurate NILM method is proposed featuring condensed representation, super-state and fusion of two deep learning based mode
Externí odkaz:
https://doaj.org/article/115faa26d0fc4715999097a88a1edf2a
Publikováno v:
Future Internet, Vol 11, Iss 4, p 88 (2019)
With the development of techniques, such as the Internet of Things (IoT) and edge computing, home energy management systems (HEMS) have been widely implemented to improve the electric energy efficiency of customers. In order to automatically optimize
Externí odkaz:
https://doaj.org/article/70202964a8244844a5ccaa4f67bcc903
Publikováno v:
2022 9th International Forum on Electrical Engineering and Automation (IFEEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708adc118ee3a39969acb29b58be176d
https://doi.org/10.1109/ifeea57288.2022.10038201
https://doi.org/10.1109/ifeea57288.2022.10038201