Overview of the PI (2DoF) algorithm in wind power system optimization and control
Recent research generally reports that the intermittent characteristics of sustainable energy
sources pose great challenges to the efficiency and cost competitiveness of sustainable …
sources pose great challenges to the efficiency and cost competitiveness of sustainable …
A novel offshore wind power prediction model based on TCN-DANet-sparse transformer and considering spatio-temporal coupling in multiple wind farms
J Chen, X Fu, L Zhang, H Shen, J Wu - Energy, 2024 - Elsevier
Offshore wind power capacity is growing, leading to larger clustered farms. Accurately
predicting offshore wind power capacity is crucial for power system stability; however …
predicting offshore wind power capacity is crucial for power system stability; however …
Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
Agriculture holds a crucial position in maintaining livelihoods and securing food sources,
particularly in nations such as Ethiopia, where a substantial portion of the population …
particularly in nations such as Ethiopia, where a substantial portion of the population …
[HTML][HTML] CEEMDAN-RIME–Bidirectional Long Short-Term Memory Short-Term Wind Speed Prediction for Wind Farms Incorporating Multi-Head Self-Attention …
W Yang, Z Zhang, K Meng, K Wang, R Wang - Applied Sciences, 2024 - mdpi.com
Accurate wind speed prediction is extremely critical to the stable operation of power
systems. To enhance the prediction accuracy, we propose a new approach that integrates …
systems. To enhance the prediction accuracy, we propose a new approach that integrates …
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
J Huo, J Xu, C Chang, C Li, C Qi, Y Li - Engineering Applications of …, 2024 - Elsevier
In recent years, decomposition-based combination models have been widely used in wind
power prediction. This type of method decomposes the highly volatile wind power into some …
power prediction. This type of method decomposes the highly volatile wind power into some …
[HTML][HTML] Implementation of a hierarchical cluster model to analyze wind and solar availability in the department of Antioquia, Colombia
AR Román, DJ Villegas, C Rodriguez, A Cogollo… - Case Studies in …, 2024 - Elsevier
This research presents a systematic spatiotemporal assessment of solar radiation and wind
speed patterns throughout the Department of Antioquia, Colombia, employing advanced …
speed patterns throughout the Department of Antioquia, Colombia, employing advanced …
Geostatistical analysis and interpretation of Ilesha aeromagnetic data south–western, Nigeria
The uses of variogam and kriging as a tool in geostatistical analysis have gained greater
prominence recently in the diverse scientific field, especially for mineral exploration purpose …
prominence recently in the diverse scientific field, especially for mineral exploration purpose …
Spatial interpolation techniques comparison and evaluation: the case of ground-based gravity and elevation datasets of the Central Main Ethiopian Rift
The ground-based gravity data reveals diverse anomaly signatures in areas of the Main
Ethiopian rift where active volcanic and tectonic activities are dominant. In such a region …
Ethiopian rift where active volcanic and tectonic activities are dominant. In such a region …
Leveraging Deep Learning Architectures for Accurate Wind Speed and Power Prediction in Renewable Energy Systems
The advanced deep learning models that are incorporated in this paper present strategies
on the forecasting of Wind velocity and wind power. While metaheuristic strategies do not …
on the forecasting of Wind velocity and wind power. While metaheuristic strategies do not …