Chinese Academy of Sciences

State Grid Corporation of China

Northeast Electric Power University

State Grid Shandong Electric Power Research Institute

Economic and Technological Research Institute of State Grid Liaoning Electric Power Co., Ltd.

Bo Yang

Haibin Yu

Wei Liang

Xiaoling Zhang

Chao Zhou

Hui Liu

Rong Liu

Meng Zheng

Yixin Hou

Yang Zhang

Zongyuan Wang

Jing Gao

Kai Liu

Ran Jia

Fangyuan Yang

Nantian Huang

Xuming Lv

Hua Li

Zhuoran Song

Shiwei Peng

Chao Gu

Na Zhang

Lin Zhao

Qinghe Shen

Mingli Zhang

Shiming Li

Xiao Pan

Mengzeng Cheng

Xilin Xu

Chuanbin Liu

Wenying Shang

Xing Ji

Xiaobin Sun

Jinqi Li

Linkun Man

Jinxia Yao

Haifeng Yang

Yutong Liu

Haiyan Yuan

Suo Yang

A method for predicting a day-ahead wind power of wind farms, comprising: constructing a raw data set based on a correlation between the to-be-predicted daily wind power, the numerical weather forecast meteorological feature and a historical daily wind power; obtaining a clustered data set and performing k-means clustering, obtaining a raw data set with cluster labels, and generating massive labeled scenes based on robust auxiliary classifier generative adversarial networks; determining the cluster label category of the to-be-predicted day based on the known historical daily wind power and numerical weather forecast meteorological feature, and screening out multiple scenes with high similarity to the to-be-predicted daily wind power based on the cluster label category; and obtaining the prediction results of the to-be-predicted daily wind power at a plurality of set times based on an average value, an upper limit value and a lower limit value of the to-be-predicted daily wind power.

Method and system for predicting a day-ahead wind power of wind farms

A live detection system, a thermal infrared (IR) imager and a method for power grid equipment are provided. The system includes an environmental parameter module for acquiring environmental temperature, humidity and wind speed data; a ranging module for measuring a linear distance to the power grid equipment; an equipment type recognition module for acquiring an image of the power grid equipment, and recognizing a type of the power grid equipment; an equipment material determination module for determining a material type of the power grid equipment; an emissivity setting module for setting an emissivity; an temperature measurement module for obtaining a temperature of the power grid equipment by focusing on positions of the power grid equipment which need temperature measurement; and a report generation module for selecting a corresponding diagnostic model, displaying a temperature measurement position and a temperature value, drawing a conclusion, and generating a report.

Live detection system, method, and thermal infrared imager for power grid equipment

The present invention relates to a Torus-Quorum based channel rendezvous method for directional antennas. A pair of directional antennas facing any side initially points to the other party mutually in one Torus-Quorum system cycle through a rotation closure attribute of a Torus-Quorum system; and a receiver and a sender switch to a same available channel according to frequency hopping sequences to realize channel rendezvous. In the Torus-Quorum based channel rendezvous method for directional antennas proposed in the present invention, the directional antennas are rotated based on the Torus-Quorum, and elements are ensured to coincide with each other within limited time through the rotation closure attribute of the Torus-Quorum system, i.e., directions are opposite, thereby effectively shortening channel rendezvous time of the directional antennas.

Torus-Quorum based channel rendezvous method for directional antennas

The present invention relates to wireless network technology and presents a permutation group-based channel rendezvous method for a multi-antenna cognitive radio network, allowing a cognitive user equipped with multiple antennas to achieve blind channel rendezvous without the need for clock synchronisation. The present invention defines channel hopping sequences whilst making full use of properties such as channel diversity, the closure nature of permutation groups, and multi-antenna concurrency; based on the permutation groups obtained by rotating a regular polyhedron or a regular polygon around different angles according to different types of axes of symmetry, cyclical splicing is implemented, and different antennas can, according to different rules, independently generate hopping sequences and switching channels; the sequence generating methods are various and flexible; the use of parallel search ensures that deterministic rendezvous with other cognitive users is achieved as quickly as possible and as much as possible in a limited time; and the present method is a highly efficient blind channel rendezvous method having wide applicability and suitable for use in large-scale wireless networks.

Permutation group-based channel rendezvous method for multi-antenna cognitive radio network

Growing community of inventors

Liaoning, China

Bo Yang