A review of conventional and advanced MPPT algorithms for wind energy systems

D Kumar, K Chatterjee - Renewable and sustainable energy reviews, 2016 - Elsevier
Wind power is the most reliable and developed renewable energy source over past
decades. With the rapid penetration of the wind generators in the power system grid, it is …

Applications of fuzzy logic in renewable energy systems–a review

L Suganthi, S Iniyan, AA Samuel - Renewable and sustainable energy …, 2015 - Elsevier
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 …

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 …

Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

J Katebi, M Shoaei-parchin, M Shariati… - Engineering with …, 2020 - Springer
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 …

Assessment of wind energy potential using wind energy conversion system

M Shoaib, I Siddiqui, S Rehman, S Khan… - Journal of cleaner …, 2019 - Elsevier
Wind energy, as a renewable resource, is the most rapidly growing source that produces
electrical energy using wind turbines. Such a wind energy conversion system is both …

Blade shape optimization of the Savonius wind turbine using a genetic algorithm

CM Chan, HL Bai, DQ He - Applied energy, 2018 - Elsevier
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 …

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

PG Asteris, A Mamou, M Hajihassani… - Transportation …, 2021 - Elsevier
This paper reports the results of soft computing-based models correlating L and N-type
Schmidt hammer rebound numbers of rock. A data-independent database was compiled …

Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach

S Saud, B Jamil, Y Upadhyay, K Irshad - Sustainable Energy Technologies …, 2020 - Elsevier
In this work, global solar radiation is estimated based on sunshine duration. Solar radiation
measurements have been collected from the Indian Meteorological Department (Pune …

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili… - Energy, 2021 - Elsevier
Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …

New ridge regression, artificial neural networks and support vector machine for wind speed prediction

Y Zheng, Y Ge, S Muhsen, S Wang… - … in Engineering Software, 2023 - Elsevier
For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …