A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

T Ahmad, H Zhang, B Yan - Sustainable Cities and Society, 2020 - Elsevier
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …

Application of support vector machine models for forecasting solar and wind energy resources: A review

A Zendehboudi, MA Baseer, R Saidur - Journal of cleaner production, 2018 - Elsevier
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …

Short-term nacelle orientation forecasting using bilinear transformation and ICEEMDAN framework

H Li, J Deng, P Feng, C Pu, DDK Arachchige… - Frontiers in Energy …, 2021 - frontiersin.org
To maximize energy extraction, the nacelle of a wind turbine follows the wind direction.
Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to …

Wind speed prediction of unmanned sailboat based on CNN and LSTM hybrid neural network

Z Shen, X Fan, L Zhang, H Yu - Ocean Engineering, 2022 - Elsevier
Wind speed is a key factor for unmanned sailboats, and accurate prediction of wind speed is
of great significance to the safety and performance of unmanned sailboats. In this study, a …

Two-phase deep learning model for short-term wind direction forecasting

Z Tang, G Zhao, T Ouyang - Renewable Energy, 2021 - Elsevier
Accurate and reliable wind direction prediction is important for improving wind power
conversion efficiency and operation safety. In this paper, a two-phase deep learning model …

GIS-assisted modeling of wind farm site selection based on support vector regression

M Asadi, K Pourhossein… - Journal of Cleaner …, 2023 - Elsevier
The optimal siting of wind farms is a multi-attribute problem, and different objectives and
constraints like economic, environmental, social, and technical should be taken into account …

Wind power prediction based on PSO-SVR and grey combination model

Y Zhang, H Sun, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
As a kind of green, clean and renewable energy, wind power generation has been widely
utilized in various countries in the world. With the rapid development of wind energy, it is …

A review of applications of artificial intelligent algorithms in wind farms

Y Wang, Y Yu, S Cao, X Zhang, S Gao - Artificial Intelligence Review, 2020 - Springer
Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

Applications of machine learning to wind engineering

T Wu, R Snaiki - Frontiers in Built Environment, 2022 - frontiersin.org
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …

Collision risk-informed weather routing for sailboats

M Zyczkowski, R Szlapczynski - Reliability Engineering & System Safety, 2023 - Elsevier
Selected COLREG rules, good seamanship and sheer common sense indicate that it is in a
sailboat's interest to follow collision-free routes without relying on large power-driven ships …