Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lijia Ren"'
Publikováno v:
Energies, Vol 16, Iss 21, p 7448 (2023)
For the sake of conducting distribution network reliability prediction in an accurate and efficient manner, a model for distribution network reliability prediction (IAO-LSSVM) based on an improved Aquila Optimizer (IAO) optimized mixed-kernel Least S
Externí odkaz:
https://doaj.org/article/daf2ac6de2834e99b12433b4d16fdc83
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6620-6637 (2022)
Failure interruption often causes large blackouts in power grids, severely impacting critical functions. Because of the randomness of power failure, it is difficult to predict the leading causes of failure. ASAI, an essential indicator of power-suppl
Externí odkaz:
https://doaj.org/article/b3363d9c071345d5ae85977af3486d4d
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4146-4161 (2021)
Computer-aided diagnosis (CAD) of pulmonary nodules is an effective approach for early detection of lung cancers, and pulmonary nodule classification is one of the key issues in the CAD system. However, CAD has the problems of low accuracy and high f
Externí odkaz:
https://doaj.org/article/7a33ad231b1e4e2eb350838caa2226d1
A Fractional Brownian Motion Model for Forecasting Lost Load and Time Interval Between Power Outages
Publikováno v:
IEEE Access, Vol 9, Pp 6623-6632 (2021)
A novel idea is proposed to forecast lost load and time interval between power outages based on the similarity between the series generated by a stochastic model and the actual series. The lost load obeys a power-law distribution, which can be descri
Externí odkaz:
https://doaj.org/article/3d92971fd4d241f5b640e4f3bddd3c54
Publikováno v:
IEEE Access, Vol 8, Pp 224884-224894 (2020)
The main problem dealt with in this paper is to find a method to improve the performance of the reliability analysis of power distribution networks. With the help of deep learning, which has the characteristics of large-scale parallel processing and
Externí odkaz:
https://doaj.org/article/557cfc94e74b4fc1a6d6614888c7974d
Publikováno v:
2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4146-4161 (2021)
Computer-aided diagnosis (CAD) of pulmonary nodules is an effective approach for early detection of lung cancers, and pulmonary nodule classification is one of the key issues in the CAD system. However, CAD has the problems of low accuracy and high f
Publikováno v:
IEEE Access, Vol 8, Pp 224884-224894 (2020)
The main problem dealt with in this paper is to find a method to improve the performance of the reliability analysis of power distribution networks. With the help of deep learning, which has the characteristics of large-scale parallel processing and
Autor:
Weiwei Cai, Yuxin Shi, Weiheng Han, Lijia Ren, Ting Lei, Hourui Liu, Jingchi Xie, Sheng Huang
Publikováno v:
2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).
Publikováno v:
E3S Web of Conferences, Vol 242, p 03004 (2021)
In order to accurately and efficiently analyze the reliability of distribution network, this paper proposes a method of analyzing the reliability of distribution network based on a deep belief network. The Deep Belief Network (DBN) is composed of lim