Intelligent Microgrid Energy Management System Based on Deep Learning Approach

Author(s):  
Mohammad Saeed Khayaty ◽  
Amanj Movludiazar ◽  
Ramin Fotouhi ◽  
Mohammad Kazem Sheikh-El-Eslami
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 202225-202239
Author(s):  
Vishnu Suresh ◽  
Przemyslaw Janik ◽  
Josep M. Guerrero ◽  
Zbigniew Leonowicz ◽  
Tomasz Sikorski

2014 ◽  
Vol 960-961 ◽  
pp. 1562-1566 ◽  
Author(s):  
Teng Yu Ge ◽  
Bu Han Zhang ◽  
Jun Li Wu ◽  
Bing Jie Jin ◽  
Shuang Zhao ◽  
...  

Microgrid can be applied in different locations, relative to traditional power technology. It can improve the reliability of users of electricity and power system operation. Distributed power in microgrid needs real-time and multi-objective optimization management. This paper discusses functions and structure of microgrid energy management system(MGEMS) when connected with the main grid. Problems in long-term and short-term energy management of microgrid are discussed. From the point of view of the software platform, the system structure of MGEMS software are proposed. On this basis, this paper discusses the way to construct modules of MGEMS and their functions.


Author(s):  
Tae-Gyu Kim ◽  
Hoon Lee ◽  
Chang-Gyun An ◽  
Kyung-Min Kang ◽  
Junsin Yi ◽  
...  

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