Results 311 to 320 of about 948,844 (344)

Surface Wind Speed Distributions

1992
Abstract : Some weapon systems are sensitive to winds in the lowest layers of the atmosphere. Wind speed distributions and random wind speeds derived from the distributions are often required to help determine the operational capabilities of these systems.
Bruce T. Miers, Elton P. Avara
openaire   +1 more source

Wind speed and wind power forecasting models

Energy & Environment
Sustainable energy resources have proved to be the best alternative in the wake of environmental degradation, depletion of ozone layer and ever-increasing demand for energy. Though wind energy is a promising resource, the non-linear nature and non-stationary characteristics of wind have remained a formidable challenge.
M. Lydia, G. Edwin Prem Kumar, R. Akash
openaire   +1 more source

Extreme wind speeds in Croatia

2004
The Generalized Pareto Distribution (GPD) and its application to the statistical analysis of extreme wind speeds are discussed. Its main advantage is that it makes use of all relevant data on the high wind gusts produced by storms of interest, not just the annual maximum. Peak-over-threshold maximum, extracted fro sample data series to rpoduce a series
openaire   +1 more source

A global assessment of extreme wind speeds for wind energy applications

Nature Energy, 2021
Sara C Pryor, Rebecca J Barthelmie
exaly  

Wind Speed

2022
openaire   +1 more source

Modelling extreme wind speeds

2007
Very strong wind gusts can cause derailment of some high speed trains so knowledge of the wind process at extreme levels is required. Since the sensitivity of the train to strong wind occurrences varies with the relative direction of a gust this aspect has to be accounted for. We first focus on the wind process at one weather station.
openaire   +1 more source

A Dual-Mode Triboelectric Nanogenerator for Wind Energy Harvesting and Self-Powered Wind Speed Monitoring

ACS Nano, 2022
Chuguo Zhang, Baofeng Zhang, Linglin Zhou   +2 more
exaly  

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

Applied Energy, 2021
Yun Wang, Runmin Zou, Fang Liu
exaly  

An Ultra-Durable Windmill-Like Hybrid Nanogenerator for Steady and Efficient Harvesting of Low-Speed Wind Energy

Nano-Micro Letters, 2020
Chenguo Hu
exaly  

Speed Control at Low Wind Speeds for a Variable Speed Fixed Pitch Wind Turbine

Modelling, Identification, and Control, 2010
N. Rosmin, S.J. Watson, M. Tompson
openaire   +1 more source