Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Boyang Qu"'
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background YouTube™ ( http://www.youtube.com ), as a very popular video site worldwide, is increasingly being used as a platform to disseminate health information. The purposes of this review were to assess the overall usefulness of the in
Externí odkaz:
https://doaj.org/article/f6ccd298a8e042279c58db5f3f6ea733
Publikováno v:
Energies, Vol 17, Iss 8, p 1921 (2024)
Large-scale fluctuating and intermittent new energy power generation in a new power system is gradually connected to the grid. In view of the impact of the uncertainty of wind power on the spinning reserve capacity of thermal power units in the new p
Externí odkaz:
https://doaj.org/article/dfb59022121c4b7f844af157ad792733
Publikováno v:
IEEE Access, Vol 11, Pp 145167-145184 (2023)
By improving the accuracy of wind power prediction, reliable data support is provided for the Economic Dispatch(ED) model of Electric and Heat Integrated Energy System(EHIES) based on wind power consumption. In this paper, Convolutional Neural Networ
Externí odkaz:
https://doaj.org/article/f2682e3ff45144a19540921e61805ae7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 196-204 (2022)
With the advancement of supply-side reforms in the energy and power fields, a comprehensive energy system that integrates various energy sources such as electricity, heat, and natural gas has become the main development trend. Based on this, this pap
Externí odkaz:
https://doaj.org/article/df8e2bfd86174148b10bb1c1925fae32
Publikováno v:
Wind Energy, Vol 25, Iss 10, Pp 1710-1734 (2022)
Abstract Reliable wind farm short‐term output power prediction plays a crucial role in the safety and economy of power system operation. By embedding multiple neural network methods, such as long short‐term memory (LSTM) neural network, multiple
Externí odkaz:
https://doaj.org/article/aea89507761d4170969eaefa86de66dd
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 5, Pp 885-899 (2022)
Abstract Short‐term prediction of wind power plays a vital role in wind power application. In order to improve the accuracy of wind power forecasting, this paper investigates neural network combined forecasting models to forecast the wind power, th
Externí odkaz:
https://doaj.org/article/5d684695eaac49e3abd17c4ea78a7b4b
Publikováno v:
Complex System Modeling and Simulation, Vol 2, Iss 1, Pp 35-58 (2022)
To address complex single objective global optimization problems, a new Level-Based Learning Differential Evolution (LBLDE) is developed in this study. In this approach, the whole population is sorted from the best to the worst at the beginning of ea
Externí odkaz:
https://doaj.org/article/50dfd3b30e5845948171c4c3fbd310cf
Publikováno v:
IET Electric Power Applications, Vol 15, Iss 6, Pp 754-768 (2021)
Abstract This article proposes a novel flux‐adjustable permanent magnet eddy current coupling with multiple rotors. According to the different functions, the permanent magnet rotors are divided into fixed‐flux and flux‐adjustable rotors. By adj
Externí odkaz:
https://doaj.org/article/03175f8b7f0b4d49948c39266f714096
Publikováno v:
IEEE Access, Vol 8, Pp 209717-209737 (2020)
This paper proposes a multi-objective particle swarm optimization algorithm based on Gaussian sampling (GS-MOPSO) to locate multiple Pareto optimal solutions for solving multimodal multi-objective problems. In the proposed method, the Gaussian sampli
Externí odkaz:
https://doaj.org/article/dd21c212173749b4934592dddbc7905d
Publikováno v:
IEEE Access, Vol 7, Pp 125387-125400 (2019)
Google Ads is an advertising agency that provides ads to advertisers. Advertisers match the user's search terms and push ads by selecting keywords related to their ad content. Keywords can determine the type of users an advertiser pushes, the effecti
Externí odkaz:
https://doaj.org/article/dbfe114cf27947b8a9e3059b47de4b69