Anqin Luo - IEEE Xplore Author Profile

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With the construction of the power distribution Internet of Things, the measurement system and other links will accumulate a large amount of data information. The data information of the power distribution network has a wide range of sources, a large amount of data information, and the relationship between different data is complex. Efficient data information collection, transmission and analysis ...Show More
With the continuous development of the deep learning model, the prediction accuracy of the model has reached a high enough level. The high memory consumption in the prediction of the deep learning model has become a problem that needs to be solved. Moreover, the large size of the model not only brings about the memory capacity problem, but also requires sufficient memory bandwidth. At the same tim...Show More
For the new intelligent distribution terminal, China is in the leading position of concept at present, and the enterprise level technical standard of equipment products has been formed in China. However, in terms of quality detection, there is still a lack of operation scenario simulation and standardized detection technology to adapt to the new business format of the terminal, so it is urgent to ...Show More
With the development of distribution network, the amount of data and computation generated by network edge devices increases dramatically, which brings pressure on data storage, cloud computing and transmission bandwidth. The traditional cloud computing model is difficult to guarantee the real-time performance of data analysis, processing and response, which makes the non-real-time performance of ...Show More
In the field of electric power, power communication network is an important part of smart grid, and the number of communication nodes exceeds one billion. With the rise of new services such as power Internet of things automation, photovoltaic cloud network, energy storage cloud, Internet of vehicles, source network and load interaction system, higher requirements are put forward for the reliabilit...Show More
Line loss plays a vital role in evaluating the economic operation of the power system. However, in the 10KV distribution network, due to the backward configuration of measurement and testing equipment, it is difficult to collect data and nodes with too much operating information, resulting in line loss. Forecasting becomes more and more cumbersome and difficult. Therefore, a method of line loss pr...Show More
With the rapid development of data center, cloud computing and Internet of things technology, the ossification of traditional optical network architecture is increasingly prominent. Virtual optical network services have the characteristics of business diversification and differentiation, which leads to the increasingly complex virtual mapping between virtual network and elastic optical network. At...Show More
With the in-depth development of Internet of things technology, a large number of Internet of things sensing devices are deployed in various environments of power grid. Smart meters can continuously obtain users' power consumption parameters according to a certain frequency, and transmit them to power companies through Internet of things communication technology. In the existing smart grid archite...Show More
The randomness of charging behavior in time and space increases the difficulty of load forecasting of EV charging stations. In this paper, to improve the accuracy of load forecasting, by building a load prediction mode based on stacked auto encoder neural network(SAE) at the edge platform, and in-depth study of the interaction mode of EV and power grid. The model of electric vehicle charging pile ...Show More
As virtual networks services emerge increasingly with higher requirement of great supporting ability, the issue of spectrums fragments is unavoidable of the Elastic Optical Networks (EON), especially under heaven services burdens. Aimed to solve this problem, this paper proposes a fragments awareness based virtual network mapping scheme of elastic optical network. In this article, the fragments aw...Show More
The grid-connected micro-grid with large scale has proposed higher requirements for grid Demand Response (DR). This paper introduces factors of micro-grid into the DR system and designs the structure of micro-grid based on DR system, together with the modeling principle and method of micro-grid based on DR policy. On this basis, this paper proposes a microgrid based on demand response optimization...Show More
As virtual networks services emerge increasingly with higher requirement of reliability and survivalbility, great challenges and demands are presented to the Elastic Optical Networks (EON). Aimed to solve this problem, this paper proposes a risk awareness based virtual network mapping stragegy of elastic optical network. In this article, a risk awareness model of virtual optical network is establi...Show More
In the software defined optical network (SDON) for virtual network services, there still exists unbalanced traffic load distribution in SDON. The traditional load balance mapping method exists in the problem of heavy load of key nodes in optical network and low request acceptance rate of virtual network. In this paper, a virtual mapping method of optical network based on topology awareness is prop...Show More