Results 321 to 330 of about 3,942,784 (376)
Some of the next articles are maybe not open access.
ACS Nano, 2022
The triboelectric nanogenerator shows a broad application potential in wind energy collection and wind speed sensing. However, it is difficult to realize wind energy collection and real-time wind speed monitoring in one simple device without external ...
Lixia He +9 more
semanticscholar +1 more source
The triboelectric nanogenerator shows a broad application potential in wind energy collection and wind speed sensing. However, it is difficult to realize wind energy collection and real-time wind speed monitoring in one simple device without external ...
Lixia He +9 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2022
Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF), which is the prime contributor to the forecasting error. To achieve more accurate WPF results, this article proposes a wind speed correction method to improve the WSF ...
Menglin Li +3 more
semanticscholar +1 more source
Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF), which is the prime contributor to the forecasting error. To achieve more accurate WPF results, this article proposes a wind speed correction method to improve the WSF ...
Menglin Li +3 more
semanticscholar +1 more source
Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model
IEEE Transactions on Sustainable Energy, 2020Wind speed interval prediction is playing an increasingly important role in wind power production. The intermittent and fluctuant characteristics of wind power make high-quality prediction interval challenging.
Chaoshun Li +4 more
semanticscholar +1 more source
, 2020
The goal of this study is to explain the relation among atmospheric stability/turbulence (considering wind speed), air pollution and the spread of COVID-19 to provide insights into environmental risk factors of specific regions.
M. Coccia
semanticscholar +1 more source
The goal of this study is to explain the relation among atmospheric stability/turbulence (considering wind speed), air pollution and the spread of COVID-19 to provide insights into environmental risk factors of specific regions.
M. Coccia
semanticscholar +1 more source
Evaluation and Projection of Surface Wind Speed Over China Based on CMIP6 GCMs
Journal of Geophysical Research: Atmospheres, 2020Surface wind speed has great impacts on the economy, environment, and society around the world. Based on 24 global climate models (GCMs) from Coupled Model Intercomparison Project Phase 6 (CMIP6), this paper assesses the historical surface wind speed ...
Jie Wu, Ying Shi, Ying Xu
semanticscholar +1 more source
Relationship between wind speed and gas exchange over the ocean
, 1992Relationships between wind speed and gas transfer, combined with knowledge of the partial pressure difference of CO2 across the air-sea interface are frequently used to determine the CO2 flux between the ocean and the atmosphere.
R. Wanninkhof
semanticscholar +1 more source
, 2012 In this chapter, the wind characteristics described in the design codes are explained. First, the general characteristics of natural wind are explained, and various parameters used in the two representative Japanese bridge design standards are defined.
Yozo Fujino +2 more
openaire +1 more source
2020
Monitoring of sea state and sea surface wind is certainly of fundamental importance for studies on climatology, meteorology, weather forecast, and ocean circulation. However, it has a great relevance also in the framework of maritime surveillance, particularly for navigation safety.
Di Martino G., Iodice A.
openaire +2 more sources
Monitoring of sea state and sea surface wind is certainly of fundamental importance for studies on climatology, meteorology, weather forecast, and ocean circulation. However, it has a great relevance also in the framework of maritime surveillance, particularly for navigation safety.
Di Martino G., Iodice A.
openaire +2 more sources
Wind Speed Forecasting in Wind Farm
Applied Mechanics and Materials, 2014Artificial neural network method was used to forecast the wind speed, and two wind speed forecasting models were built based on BP and RBF neural network methods. 24 hours continuous wind speed forecast was conducted for a single wind turbine in wind farm. The results show that the models built are reasonable and have high prediction accuracy.
Xiao Di Zhang +3 more
openaire +2 more sources
Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting
IEEE Transactions on Sustainable Energy, 2019Wind speed forecasting is still a challenge due to the stochastic and highly varying characteristics of wind. In this paper, a graph deep learning model is proposed to learn the powerful spatio-temporal features from the wind speed and wind direction ...
Mahdi Khodayar, Jianhui Wang
semanticscholar +1 more source