Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures

ACR Gonçalves, X Costoya, R Nieto… - Sustainable Energy …, 2024 - Springer
Energy systems (ES) are seriously affected by climate variability since energy demand and
supply are dependent on atmospheric conditions at several time scales and by the impact of …

The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals

FM Talaat, AE Kabeel, WM Shaban - Renewable Energy, 2024 - Elsevier
Many nations want to use only renewable energy by 2050. Given the recent rapid expansion
in RE use in the global energy mix and its progressive impact on the global energy sector …

[HTML][HTML] Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study

F Harrou, A Dairi, A Dorbane, Y Sun - Results in Engineering, 2024 - Elsevier
Accurate wind power prediction is critical for efficient grid management and the integration of
renewable energy sources into the power grid. This study presents an effective deep …

A new short-term wind power prediction methodology based on linear and nonlinear hybrid models

X Zhao, B Sun, N Wu, R Zeng, R Geng, Z He - Computers & Industrial …, 2024 - Elsevier
Fast and accurate wind power prediction is of great significance for grid planning. However,
wind power dataset tends to be highly stochastic and volatile, while showing more stable …

Machine learning approaches in predicting the wind power output and turbine rotational speed in a wind farm

A Ilhan, S Tumse, M Bilgili, B Sahin - Energy Sources, Part A …, 2024 - Taylor & Francis
Accurate wind energy forecasting has become increasingly important to effectively manage
the energy produced by wind turbine power plants and optimize their operational …

Enhancing long-term wind power forecasting by using an intelligent statistical treatment for wind resource data

M Borunda, A Ramírez, R Garduno, C García-Beltrán… - Energies, 2023 - mdpi.com
Wind power is an important energy source that can be used to supply clean energy and
meet current energy needs. Despite its advantages in terms of zero emissions, its main …

A Machine Learning-Based Sustainable Energy Management of Wind Farms Using Bayesian Recurrent Neural Network.

A Blfgeh, H Alkhudhayr - Sustainability (2071-1050), 2024 - search.ebscohost.com
The sustainable management of energy sources such as wind plays a crucial role in
supplying electricity for both residential and industrial purposes. For this, accurate wind data …

[HTML][HTML] Assessment of power curve performance of wind turbines in Adama-II Wind Farm

AD Teshome, MB Kahsay, MMM Cabrera - Energy Reports, 2024 - Elsevier
The power curve of a manufacturer must be compared with the actual power curve after
commissioning because various factors lead to deviations. The main purpose of this study …

A Heat Load Prediction Method for District Heating Systems Based on the AE-GWO-GRU Model

Y Yang, J Yan, X Zhou - Applied Sciences, 2024 - mdpi.com
Accurate prediction of the heat load in district heating systems is challenging due to various
influencing factors, substantial transmission lag in the pipe network, frequent fluctuations …

[HTML][HTML] Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine

A Fazylova, B Tultayev, T Iliev, I Stoyanov… - Machines, 2024 - mdpi.com
This article explores and optimizes network technologies for wind energy systems, focusing
on the RS-485 interface to ensure reliable data transmission in extreme conditions. The …