Results 301 to 310 of about 3,189,300 (321)

Harvesting Wind Energy by a Triboelectric Nanogenerator for an Intelligent High-Speed Train System

, 2021
The operation cost of an intelligent high-speed train system is greatly increased by the enormous energy demand of large-scale signal and sensor networks.
Chuguo Zhang, Yuebo Liu, Baofeng Zhang, Ou Yang, Wei Yuan, Lixia He, Xuelian Wei, Jie Wang, Zhong Lin Wang   +8 more
semanticscholar   +1 more source

Development of the CYGNSS Geophysical Model Function for Wind Speed

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Geophysical model functions (GMFs) are developed which map the Level 1 observables made by the Cyclone Global Navigation Satellite System (CYGNSS) radar receivers to ocean surface wind speed.
C. Ruf, Rajeswari Balasubramaniam
semanticscholar   +1 more source

Assessment of CYGNSS Wind Speed Retrieval Uncertainty

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Measurements of near surface wind speed made by the Cyclone Global Navigation Satellite System (CYGNSS) constellation of GNSS-R satellites are evaluated and their uncertainty is assessed in two ways.
C. Ruf, S. Gleason, D. McKague
semanticscholar   +1 more source

Self-Powered Wind Sensor System for Detecting Wind Speed and Direction Based on a Triboelectric Nanogenerator.

ACS Nano, 2018
The development of the Internet of Things has brought new challenges to the corresponding distributed sensor systems. Self-powered sensors that can perceive and respond to environmental stimuli without an external power supply are highly desirable.
Jiyu Wang, W. Ding, Lun Pan, Changsheng Wu, Hua Yu, Lijun Yang, R. Liao, Zhong Lin Wang   +7 more
semanticscholar   +1 more source

Interval Deep Generative Neural Network for Wind Speed Forecasting

IEEE Transactions on Smart Grid, 2019
In recent years, wind speed forecasting is a challenging task required for the prediction of wind energy resources. As a highly varying data source, wind speed time series requires highly nonlinear temporal features for the prediction tasks.
Mahdi Khodayar, Jianhui Wang, M. Manthouri   +2 more
semanticscholar   +1 more source

Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

IEEE Transactions on Industrial Informatics, 2018
Recently, wind speed forecasting as an effective computing technique plays an important role in advancing industry informatics, while dealing with these issues of control and operation for renewable power systems.
Xiong Luo, Jiankun Sun, Long Wang, Weiping Wang, Wenbing Zhao, Jinsong Wu, Jenq-Haur Wang, Zijun Zhang   +7 more
semanticscholar   +1 more source

Data‐driven wind speed forecasting using deep feature extraction and LSTM

IET Renewable Power Generation, 2019
Wind speed forecasting is important for high-efficiency utilisation of wind energy and management of grid-connected power systems. Due to the noise, instability and irregularity of atmosphere system, the current models based on raw historical data have ...
Yu-Xi Wu, Qing-biao Wu, Jia-Qi Zhu
semanticscholar   +1 more source

Active Voltage Control for DFIG-Based Wind Farm Integrated Power System by Coordinating Active and Reactive Powers Under Wind Speed Variations

IEEE transactions on energy conversion, 2019
Large-scale wind farms are generally integrated by long-distance transmissions, but power grids cannot sufficiently support the access point voltage of these wind farms.
J. Ouyang, Ting Tang, Jun Yao, Mengyang Li   +3 more
semanticscholar   +1 more source

An Ultra-Low-Friction Triboelectric-Electromagnetic Hybrid Nanogenerator for Rotation Energy Harvesting and Self-Powered Wind Speed Sensor.

ACS Nano, 2018
Triboelectric nanogenerators (TENGs) are attracting more and more attention since they can convert various mechanical energies into electric energy.
Peihong Wang, Lun Pan, Jiyu Wang, Minyi Xu, Guozhang Dai, Haiyang Zou, Kai Dong, Zhong Lin Wang   +7 more
semanticscholar   +1 more source

Effect of wind speed variation on the dynamics of a high-speed train

, 2019
The severe shaking due to wind speed variation in high-speed trains has a negative impact on driving safety and riding comfort. It is difficult to solve this problem by directly applying civil engineering technology because of the actual conditions ...
Dongrun Liu, Qianxuan Wang, Mu Zhong, Zhai-jun Lu, Jiabin Wang, Tianjun Wang, Siyu Lv   +6 more
semanticscholar   +1 more source