Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mingjia Fang"'
Publikováno v:
Energy Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::990480304abfc4705dc3235d233d4686
https://doi.org/10.1002/ente.202300029
https://doi.org/10.1002/ente.202300029
Publikováno v:
2nd International Conference on Materials Chemistry and Environmental Engineering (CONF-MCEE 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a2ff3fa1a2a467238b3187a69925d0a
https://doi.org/10.1117/12.2646118
https://doi.org/10.1117/12.2646118
Autor:
Mingjia Fang
Publikováno v:
Journal of Physics: Conference Series. 2108:012085
During the past few years, numerous studies have been done in self-assembly. Among most of these studies, Molecular Dynamic Simulation is widely used to construct the experiment model. This work firstly introduced three practical applications of MD s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3bf75bd592b149834797486b4aebff9
https://doi.org/10.1088/1742-6596/2108/1/012085
https://doi.org/10.1088/1742-6596/2108/1/012085
Publikováno v:
2017 IEEE Conference on Energy Internet and Energy System Integration (EI2).
In this paper, a new approach based on neural network is proposed to availably predict the power quality (PQ) for smart grid with distributed generation (DG) integration. We first analyze the various factors that have remarkable impact on the variati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3da4ed2651c61a563afd5c29ff3e00d
https://doi.org/10.1109/ei2.2017.8245370
https://doi.org/10.1109/ei2.2017.8245370