Zobrazeno 1 - 10
of 48
pro vyhledávání: '"RUNHAI JIAO"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 656-663 (2022)
As the critical fasteners on transmission towers, bolts greatly influence transmission lines’ safety and operational life. Due to manual inspection’s heavy workload and inefficiency, automatic defect detection based on machine learning has gradua
Externí odkaz:
https://doaj.org/article/ad0a75d727e042308055df7655c84afe
Publikováno v:
Energy Reports, Vol 6, Iss , Pp 1550-1556 (2020)
Electricity load forecasting plays an indispensable role in the electric power systems. However, its characteristics of uncertainty and complexity are hard to handle. This paper proposes a probabilistic load forecasting approach named QRCNN-E. Specif
Externí odkaz:
https://doaj.org/article/e4e17a1ed0e7429a801a4d923778ab29
Publikováno v:
Energy Reports, Vol 6, Iss , Pp 1176-1183 (2020)
With the advancement of power market reforms, electricity price prediction has attracted increasing attention. This paper proposes a novel probabilistic forecasting approach based on deep neural network for electricity prices. Firstly, reasonable pri
Externí odkaz:
https://doaj.org/article/c7f69b723b154422810950f8c149a008
Publikováno v:
Systems Science & Control Engineering, Vol 7, Iss 1, Pp 222-233 (2019)
This paper proposes an electric business centre location model solved by centre–decentre quantum particle swarm optimization (CDQPSO). Firstly, a location model is built taking real factors into accounts such as the cost of business centres and con
Externí odkaz:
https://doaj.org/article/8db9e65860124e0cad6b3eed0289a8d3
Publikováno v:
IEEE Access, Vol 6, Pp 17851-17858 (2018)
Recently, many countries have spent great efforts on wind power generation. Although there have been many methods in the field of wind power forecasting, the persistence statistics model based on historical data is still being challenged due to the r
Externí odkaz:
https://doaj.org/article/5fb73cc40657492586d6f4fdf20a89d5
Publikováno v:
IEEE Access, Vol 6, Pp 59438-59448 (2018)
The energy consumption by non-residential consumers in China accounts for a significant proportion of the total energy consumption in the society. Thus, accurate non-residential load forecasting plays an increasingly essential role in the future grid
Externí odkaz:
https://doaj.org/article/848e1b35cd72448aa13a2cd77b79d9df
Autor:
Zhenyu Zhou, Fei Xiong, Biyao Huang, Chen Xu, Runhai Jiao, Bin Liao, Zhongdong Yin, Jianqi Li
Publikováno v:
IEEE Access, Vol 5, Pp 5731-5746 (2017)
Energy Internet, as a major trend in power system, can provide an open framework for integrating equipment of energy generation, transmission, storage, consumption, and so on, so that global energy can be managed and controlled efficiently by informa
Externí odkaz:
https://doaj.org/article/a8d365fbd6c940dea79507d27e2d28bf
Publikováno v:
Information, Vol 10, Iss 5, p 175 (2019)
With the development of 5G and the Internet of Things (IoT), mobile terminals are widely used in various applications under multicast scenarios. However, due to the limited computation resources of mobile terminals, reducing the computation cost of m
Externí odkaz:
https://doaj.org/article/4558df6133b14b819833c96bb31a2af1
Publikováno v:
Energies, Vol 12, Iss 9, p 1797 (2019)
In a real interactive service system, a smart meter can only read the total amount of energy consumption rather than analyze the internal load components for users. Nonintrusive load monitoring (NILM), as a vital part of smart power utilization techn
Externí odkaz:
https://doaj.org/article/91d5c41464734754ad726272f0b63b30
Publikováno v:
IEEE Transactions on Consumer Electronics. 69:194-204
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9f2900492c5cdd15738d8a1e8a6b26
https://doi.org/10.1109/tce.2023.3236452
https://doi.org/10.1109/tce.2023.3236452