Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nawaraj Kumar Mahato"'
Publikováno v:
Safety, Vol 10, Iss 3, p 80 (2024)
Electric power substations, as critical components of modern power grids, are increasingly becoming targets for intentional physical attacks, including vandalism, theft, and sabotage. These threats, coupled with the potential for cyber-attacks and th
Externí odkaz:
https://doaj.org/article/7a68d23dc14c479294aff102011e0075
Autor:
Gangjun Gong, Zhening Zhang, Xinyu Zhang, Nawaraj Kumar Mahato, Lin Liu, Chang Su, Haixia Yang
Publikováno v:
Energies, Vol 13, Iss 2, p 418 (2020)
With the integration of highly permeable renewable energy to the grid at different levels (transmission, distribution and grid-connected), the volatility on both sides (source side and load side) leading to bidirectional power flow in the power grid
Externí odkaz:
https://doaj.org/article/30289716acfc41dca63bf39e260d2af9
Publikováno v:
Energies, Vol 12, Iss 16, p 3199 (2019)
Electricity load prediction is the primary basis on which power-related departments to make logical and effective generation plans and scientific scheduling plans for the most effective power utilization. The perpetual evolution of deep learning has
Externí odkaz:
https://doaj.org/article/aa38656736974bcf84d1cf9abdc98c28
Autor:
Nan Wang, Jie Dong, Chunyu Song, Gangjun Gong, Nawaraj Kumar Mahato, Zhimin Chen, Hongliang Ma
Publikováno v:
2021 6th Asia Conference on Power and Electrical Engineering (ACPEE).
This paper puts forward a Bi-LSTM attention mechanism model based on voltage phasor for electric power system transient stability assessment. The Bi-LSTM attention mechanism is used to map the relationship between voltage phasor and power system tran
Publikováno v:
2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).
Increasing interconnections to fulfill the rising electrical demand and wide application of power electronics devices has led to an increase in transient stability criterion. This leads to the requirement of high ended computational features for Tran
Publikováno v:
2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).
In order to better realize the classified management of the massive user electricity data and do a better job for peak shifting and averting of user side, this paper presents a hybrid model of deep belief network and extreme learning machine (DBN-ELM
Publikováno v:
2020 5th Asia Conference on Power and Electrical Engineering (ACPEE).
With the rigorous development of the power industry and information technology, various types of information need to be collected by the electricity information acquisition system, indeed leading to huge data transmission, storage, and processing. Th
Publikováno v:
2019 IEEE Sustainable Power and Energy Conference (iSPEC).
The research on multi-energy complementary and optimal control of urban energy internet is an inevitable trend of urban development. It can realize the efficient use of comprehensive energy at all levels in order to increase consumption of clean ener
Publikováno v:
2019 IEEE Sustainable Power and Energy Conference (iSPEC).
With the rapid development of the power industry and Internet of Things technologies and their industries, society's dependence on electricity and power supply reliability are higher. The increasing number and types of access devices makes the power
Publikováno v:
2019 IEEE Sustainable Power and Energy Conference (iSPEC).
Energy is the material basis for human society to survive and has a very important strategic position in the national economy. With the advancement of Internet technology and the extensive use of clean energy, the energy industry has demonstrated a n