[HTML][HTML] Analysis of hybrid offshore renewable energy sources for power generation: a literature review of hybrid solar, wind, and waves energy systems

H Khurshid, BS Mohammed, AM Al-Yacoubya… - Developments in the …, 2024 - Elsevier
The overuse of conventional fuels (coal, petroleum products, and gas) for energy generation
causes natural resource depletion and global warming. Therefore, the utilization of …

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 …

Near real-time wind speed forecast model with bidirectional LSTM networks

LP Joseph, RC Deo, R Prasad, S Salcedo-Sanz… - Renewable Energy, 2023 - Elsevier
Wind is an important source of renewable energy, often used to provide clean electricity to
remote areas. For optimal extraction of this energy source, there is a need for an accurate …

Intelligent wind farm control via deep reinforcement learning and high-fidelity simulations

H Dong, J Zhang, X Zhao - Applied Energy, 2021 - Elsevier
Wind farms' power-generation efficiency is constrained by the high system complexity. A
novel deep reinforcement learning (RL)-based wind farm control scheme is proposed to …

Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in …

C Wang, S Zhang, L Xiao, T Fu - Energy Conversion and Management, 2021 - Elsevier
Accurate wind speed forecasting and effective wind energy conversion can reduce the
operating cost of wind farms. However, many previous studies have been restricted to …

Reliability evaluation of a composite power system in the presence of renewable generations

M Firouzi, A Samimi, A Salami - Reliability Engineering & System Safety, 2022 - Elsevier
Power system reliability evaluation plays a vital role in the planning and operation studies by
reflecting the system safety level. In this paper, a combination of a non-sequential Monte …

Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds

D Zouheyr, B Lotfi, B Abdelmadjid - Energy, 2021 - Elsevier
This paper presents the design, modeling, and the experimental build of a 1.5 kW relatively
low-cost wind turbine emulator (WTE), based on the variable speed wind power system …

Predictive maintenance of standalone steel industrial components powered by a dynamic reliability digital twin model with artificial intelligence

D D'Urso, F Chiacchio, S Cavalieri… - Reliability Engineering & …, 2024 - Elsevier
The increasing use of Artificial Intelligence algorithms underscores the importance of large
datasets. Recent trends highlight the need for high-quality training data, especially in …

Evaluating the efficacy of intelligent methods for maximum power point tracking in wind energy harvesting systems

DA Umar, G Alkawsi, NLM Jailani, MA Alomari… - Processes, 2023 - mdpi.com
As wind energy is widely available, an increasing number of individuals, especially in off-
grid rural areas, are adopting it as a dependable and sustainable energy source. The …

A new decision framework for hybrid solar and wind power plant site selection using linear regression modeling based on GIS-AHP

M Asadi, K Pourhossein, Y Noorollahi, M Marzband… - Sustainability, 2023 - mdpi.com
Currently, worldwide attention to clean energy and sustainable energy has been expedited
because of its many environmental benefits. In fact, wind and solar energies play a prime …