Results 311 to 320 of about 3,189,300 (321)

Recent recovery of surface wind speed in northwest China

International Journal of Climatology, 2018
Previous studies have reported that much of the surface wind speed (SWS) over the mid‐latitudes of the northern hemisphere has declined. However, very few studies have investigated the relatively recent phenomenon of wind recovery.
Yupeng Li, Yaning Chen, Zhi Li, G. Fang
semanticscholar   +1 more source

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

IEEE Transactions on Industrial Informatics, 2017
Accurate wind speed forecasting is a fundamental requirement for large-scale integration of wind power generation. However, the intermittent and stochastic nature of wind speed makes this task challenging.
Mahdi Khodayar, O. Kaynak, M. Khodayar
semanticscholar   +1 more source

A review of wind speed and wind power forecasting with deep neural networks

Applied Energy, 2021
Yun Wang, Runmin Zou, Fang Liu, Lingjun Zhang, Qianyi Liu   +4 more
semanticscholar   +1 more source

Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission

IEEE Transactions on Geoscience and Remote Sensing, 2016
A retrieval algorithm is presented for the Level 2 ocean surface wind speed data product of the Cyclone Global Navigation Satellite System (CYGNSS) mission. The algorithm is based on the approach described by Clarizia et al ., 2014.
M. Clarizia, C. Ruf
semanticscholar   +1 more source

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

IEEE Transactions on Neural Networks and Learning Systems, 2016
Wind energy is a clean and an abundant renewable energy source. Accurate wind speed forecasting is essential for power dispatch planning, unit commitment decision, maintenance scheduling, and regulation.
Ye Ren, P. Suganthan, N. Srikanth
semanticscholar   +1 more source

ARIMA-Based Frequency-Decomposed Modeling of Wind Speed Time Series

IEEE Transactions on Power Systems, 2016
In this paper, a modified auto regressive integrated moving average (ARIMA) modeling procedure that can capture time correlation and probability distribution of observed wind-speed time-series data is presented.
K. Yunus, T. Thiringer, Peiyuan Chen
semanticscholar   +1 more source

Multifunctional TENG for Blue Energy Scavenging and Self‐Powered Wind‐Speed Sensor

, 2017
Triboelectric nanogenerator (TENG) has been considered to be a more effective technology to harvest various types of mechanic vibration energies such as wind energy, water energy in the blue energy, and so on.
Y. Xi, Hengyu Guo, Yunlong Zi, Xiaogan Li, Jie Wang, Jianan Deng, Shengming Li, Chenguo Hu, Xia Cao, Zhong‐Lin Wang   +9 more
semanticscholar   +1 more source

Spatial variability in winter NAO–wind speed relationships in western Europe linked to concomitant states of the East Atlantic and Scandinavian patterns

, 2017
The 3‐hourly gridded ECMWF ERA‐Interim climate reanalysis dataset, spanning 1979–2013, was used to investigate the spatial stationarity of the previously documented relationships between wind speeds and the North Atlantic Oscillation (NAO) state in ...
L. Zubiate, F. McDermott, Conor Sweeney, M. O’Malley   +3 more
semanticscholar   +1 more source

Adaptive hybrid intelligent MPPT controller to approximate effectual wind speed and optimal rotor speed of variable speed wind turbine.

ISA transactions, 2020
R. Sitharthan, M. Karthikeyan, D. S. sundar, S. Rajasekaran   +3 more
semanticscholar   +1 more source

Wind speed

New Scientist

semanticscholar   +2 more sources