Short-term wind power interval prediction method using VMD-RFG and Att-GRU

H Liu, H Han, Y Sun, G Shi, M Su, Z Liu, H Wang… - Energy, 2022 - Elsevier
With the increasing penetration of wind energy, accurate wind power prediction is essential
for efficient utilization, equipment protection, and stable grid-connection of wind energy …

[PDF][PDF] Accuracy of wind speed predictability with heights using Recurrent Neural networks

S Rehman, H Nuha, MS Islam, FH Schulze - FME Transactions, 2021 - academia.edu
Accurate prediction of wind speed in future time domain is critical for wind power integration
into the grid. Wind speed is usually measured at lower heights while the hub heights of …

SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction

S Parri, K Teeparthi - Expert Systems with Applications, 2024 - Elsevier
Wind power is gaining significant attention as a renewable and environmentally friendly
energy source. However, accurate forecasting of wind speed poses challenges due to its …

A Hybrid Model of Variational Mode Decomposition and Long Short-Term Memory for Next-Hour Wind Speed Forecasting in a Hot Desert Climate

G Alkhayat, SH Hasan, R Mehmood - Sustainability, 2023 - mdpi.com
Advancements in technology, policies, and cost reductions have led to rapid growth in wind
power (WP) production. One of the major challenges in wind energy production is the …

Assessment of offshore wind resources, based on improved particle swarm optimization

J Zhang, Y Zhu, D Chen - Applied Sciences, 2022 - mdpi.com
It is crucial to understand the characteristics of wind resources and optimize wind resources
in the area that is being considered for offshore wind farm development. Based on the …

Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia

Y Aldossary, N Hewahi, A Alasaadi - arXiv preprint arXiv:2412.13356, 2024 - arxiv.org
With industrial and technological development and the increasing demand for electric
power, wind energy has gradually become the fastest-growing and most environmentally …

[PDF][PDF] Wind Speed Prediction Based on LongShort Term Memory using Nonlinear Autoregressive Neural Networks.

S Rehman, UT Salman, MA Mohandes… - FME …, 2022 - mas.bg.ac.rs
Globally, wind power is a technologically matured and commercially accepted technology.
However, intermittent and fluctuating wind speed makes it difficult to connect it directly to the …

[PDF][PDF] Predicting Automotive Air Conditioning System Performance through Deep Learning.

PM Gavali, SD Yadav - FME Transactions, 2024 - mas.bg.ac.rs
Automotive Air Conditioning System (AACS) involves phase change of the refrigerant, to
provide a comfortable environment in the vehicle cabin. The phase change is governed by …

Roughness sub-layer wind speed model for tropical wooded areas

G Richmond-Navarro… - Wind …, 2022 - journals.sagepub.com
There are few reports in the literature regarding wind speed near the ground. This work
presents a model for wind speed from 4 m above the ground, based on year-round …

Hybrid Model of VMD and LSTM for Next-Hour Wind Speed Forecasting in a Hot Desert Climate

G Alkhayat, SH Hasan, R Mehmood - 2023 - preprints.org
Advancements in technology, policies, and cost reductions have led to rapid growth in wind
power production. One of the major challenges in wind energy production is the instability of …