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Grid integration challenges of wind energy: A review
The strengthening of electric energy security and the reduction of greenhouse gas
emissions have gained enormous momentum in previous decades. The integration of large …
emissions have gained enormous momentum in previous decades. The integration of large …
Weather forecasting for renewable energy system: a review
Energy crisis and climate change are the major concerns which has led to a significant
growth in the renewable energy resources which includes mainly the solar and wind power …
growth in the renewable energy resources which includes mainly the solar and wind power …
Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
A precise wind power forecast is required for the renewable energy platform to function
effectively. By having a precise wind power forecast, the power system can better manage its …
effectively. By having a precise wind power forecast, the power system can better manage its …
[HTML][HTML] A review of short-term wind power generation forecasting methods in recent technological trends
Climate change and the escalating demand for energy are among the most pressing global
challenges of our era. Renewable energy sources, such as wind energy, are considered a …
challenges of our era. Renewable energy sources, such as wind energy, are considered a …
Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model
Short-term wind speed predication is of great significance for scholars (eg, understanding
wind profiles), practitioners (eg, building energy management), regulators (eg, urban …
wind profiles), practitioners (eg, building energy management), regulators (eg, urban …
Deep learning in electrical utility industry: A comprehensive review of a decade of research
Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …
decade. With each moving day, some new advanced technologies are coming into the …
Large-scale wind power grid integration challenges and their solution: a detailed review
Despite global warming, renewable energy has gained much interest worldwide due to its
ability to generate large-scale energy without emitting greenhouse gases. The availability …
ability to generate large-scale energy without emitting greenhouse gases. The availability …
Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN
X Zhu, R Liu, Y Chen, X Gao, Y Wang, Z Xu - Energy, 2021 - Elsevier
Aiming at the local wind speed prediction of each turbine in the wind farm, a wind speed
prediction method based on feature analysis of wind speed behavior coupling the time …
prediction method based on feature analysis of wind speed behavior coupling the time …
[PDF][PDF] Integration of machine learning (ML) and finite element analysis (FEA) for predicting the failure modes of a small horizontal composite blade
This article aims to integrate machine learning (ML) methodologies and Finite Element
Analysis (FEA) to analyze wind turbine blades made of composite material. The methods for …
Analysis (FEA) to analyze wind turbine blades made of composite material. The methods for …
A short-term forecasting of wind power outputs based on gradient boosting regression tree algorithms
S Park, S Jung, J Lee, J Hur - Energies, 2023 - mdpi.com
With growing interest in sustainability and net-zero emissions, there has been a global trend
to integrate wind power into energy grids. However, challenges such as the intermittency of …
to integrate wind power into energy grids. However, challenges such as the intermittency of …