Wind speed distributions used in wind energy assessment: a review
H Shi, Z Dong, N **ao, Q Huang - Frontiers in Energy Research, 2021 - frontiersin.org
With economic development and population growth, energy demand has shown an upward
trend. Renewable energy is inexhaustible and causes little pollution, which has broad …
trend. Renewable energy is inexhaustible and causes little pollution, which has broad …
Evaluation of wind energy potential in Morocco's coastal regions
This paper evaluates the potential of wind energy in six coastal locations in the Kingdom of
Morocco, namely Al Hoceima, Tetouane, Assila, Essouira, Laayoune and Dakhla. First, a …
Morocco, namely Al Hoceima, Tetouane, Assila, Essouira, Laayoune and Dakhla. First, a …
A survey of deep learning techniques: application in wind and solar energy resources
Nowadays, learning-based modeling system is adopted to establish an accurate prediction
model for renewable energy resources. Computational Intelligence (CI) methods have …
model for renewable energy resources. Computational Intelligence (CI) methods have …
[HTML][HTML] Technical, economic, carbon footprint assessment, and prioritizing stations for hydrogen production using wind energy: A case study
While Afghanistan's power sector is almost completely dependent on fossil fuels, it still
cannot meet the rising power demand of this country. Deploying a combination of renewable …
cannot meet the rising power demand of this country. Deploying a combination of renewable …
Unbiased cross-validation kernel density estimation for wind and PV probabilistic modelling
Uncertainties associated with power generation from wind energy systems and Photovoltaic
(PV) power systems present a major challenge for power system planners and operators. To …
(PV) power systems present a major challenge for power system planners and operators. To …
Wind speed distribution selection–A review of recent development and progress
The choice of a suitable theoretical wind speed distribution is an important prerequisite for
accurate wind energy yield estimation. In this review, 46 studies published 2010–2018 …
accurate wind energy yield estimation. In this review, 46 studies published 2010–2018 …
[HTML][HTML] Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques
In the past decades, some desert wetlands have become critical regions for dust production
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
Review of estimating and predicting models of the wind energy amount
V Simankov, P Buchatskiy, S Teploukhov… - Energies, 2023 - mdpi.com
Obtaining wind energy for the production of electric energy plays a key role in overcoming
the problems associated with climate change and the dwindling reserves of traditional types …
the problems associated with climate change and the dwindling reserves of traditional types …
Use of Birnbaum-Saunders distribution for estimating wind speed and wind power probability distributions: A review
A knowledge of wind speed and wind power probability distributions is important for several
reasons such as assessing wind resources, planning wind farms and minimizing the …
reasons such as assessing wind resources, planning wind farms and minimizing the …
Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil
This paper aims to evaluate the performance presented by different distribution models
when applied to onshore and offshore wind speed data and determine which distribution …
when applied to onshore and offshore wind speed data and determine which distribution …