Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines—An integrated review
A Subbulakshmi, M Verma, M Keerthana… - … and Sustainable Energy …, 2022 - Elsevier
Over the past decade, there has been rapid increase in the offshore wind turbine
installations. The future installations will see a progression from shallow to deep waters. It …
installations. The future installations will see a progression from shallow to deep waters. It …
A survey of artificial neural network in wind energy systems
Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …
energy conversion systems are more sophisticated and new approaches are required based …
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …
engineering structures. This parameter is generally determined by conducting several tests …
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
H Liu, X Mi, Y Li - Energy Conversion and Management, 2018 - Elsevier
Accurate and robust wind speed forecasting is essential for the planning, scheduling and
maintenance of wind power. In this study, a novel wind speed multistep prediction model is …
maintenance of wind power. In this study, a novel wind speed multistep prediction model is …
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …
The behavior of shear connectors is generally determined through conducting push-out …
Applications of fuzzy logic in renewable energy systems–a review
In recent years, with the advent of globalization, the world is witnessing a steep rise in its
energy consumption. The world is transforming itself into an industrial and knowledge …
energy consumption. The world is transforming itself into an industrial and knowledge …
Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures
A developed comparative analysis of metaheuristic optimization algorithms has been used
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
Blade shape optimization of the Savonius wind turbine using a genetic algorithm
The Savonius wind turbine is one of the best candidates for harvesting wind energy in an
urban environment, due to unique features such as compactness, simple assembly, low …
urban environment, due to unique features such as compactness, simple assembly, low …
Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case …
An accurate prediction of short-term and long-term wind speed is necessary in order to
integrate wind energy into large-scale grid power. However, wind speed presents diverse …
integrate wind energy into large-scale grid power. However, wind speed presents diverse …
Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach
In this work, global solar radiation is estimated based on sunshine duration. Solar radiation
measurements have been collected from the Indian Meteorological Department (Pune …
measurements have been collected from the Indian Meteorological Department (Pune …