Digital Grid Res. Inst., China Southern Pwr. Grid

Digital Grid Res Inst, China Southern Power Grid

Csg Digital Power Grid Research Inst. Co., Ltd.

Senjing Yao

Peng Li

Zhiming Wang

Bing Tian

Qiancheng Lv

Licheng Li

Xu Yin

Bofeng Luo

Renze Chen

Jiaming Zhang

Zhong Liu

Zhenheng Xu

Zejie Tan

Jie Wei

Yuehuan Lin

Xiaopeng Fan

Shengrong Liu

Wei Xi

Changcheng Zhou

Zhuohuan Li

Xiyuan Ma

Kai Cheng

Tao Bao

Xudong Hu

Shixian Pan

Yuanfeng Chen

Zihao Zhang

Yansen Chen

A method and a system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration are disclosed. The method includes: obtaining, in response to a power prediction demand for a target new energy station, future numerical weather prediction data of the target new energy station in a future period and historical output power of a historical period corresponding to the future period; selecting, based on missing of the future numerical weather prediction data and a data amount of the historical output power, a target power prediction model corresponding to the target new energy station; and adjusting the target power prediction model according to the target working mode, and predicting, by the adjusted target power prediction model, a target output power of the target new energy station in the future period, based on the future numerical weather prediction data and the historical output power.

Method and system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration

The present disclosure relates to a wide-range perpendicular sensitive magnetic sensor and the method for manufacturing the same, the magnetic sensor includes a substrate, a plurality of magnetic tunnel junctions, a plurality of magnetic flux regulators, a first output port and a second output port.

Wide-range perpendicular sensitive magnetic sensor and method for manufacturing the same

The present disclosure relates to an AC/DC closed-loop current sensor, including a magnetism gathering iron core, a TMR chip, a signal processing circuit, a signal generator, and a feedback coil. The TMR chip is arranged at an air gap of the magnetism gathering iron core and connected to the signal processing circuit. The signal processing circuit is connected to the signal generator. The feedback coil is wound around the magnetism gathering iron core and connected to the signal generator. The signal processing circuit is configured to select from the induced signal of the TMR chip and make an amplification to obtain a current signal component and send the current signal component to the signal generator. The signal generator is configured to adjust a current output to the feedback coil based on the current signal component, and output a measurement result of the selected current signal component.

AC/DC closed-loop current sensor

The present disclosure relates to a voltage measuring method, a computer device and a storage medium. The method includes: determining, by a voltage measuring device when the voltage measuring device is electrically coupled to a three-phase conductor through a voltage dividing capacitor in the voltage measuring device, a current measured voltage, the measured voltage being determined by measuring a voltage of the voltage dividing capacitor in the voltage measuring device; adjusting the coupling capacitances, and determining, by the voltage measuring device after the adjustment of the coupling capacitances, a current measured voltage; and determining, based on the measured voltage by the voltage measuring device before the adjustment of the coupling capacitances and the measured voltage by the voltage measuring device after the adjustment of the coupling capacitances, a voltage of a phase conductor of the three-phase conductor to be measured.

Voltage measuring method, computer device and storage medium

Growing community of inventors

Guangzhou, China

Senjing Yao