Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model
Accurate prediction of the dissolved oxygen level (DOL) is important for enhancing
environmental conditions and facilitating water resource management. However, the …
environmental conditions and facilitating water resource management. However, the …
Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
A more efficient optimization algorithm has always been the pursuit of researchers, but the
performance of the current optimization algorithm in some complex test functions is not …
performance of the current optimization algorithm in some complex test functions is not …
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy
J Liu, J Wang, Y Niu, B Ji, L Gu - Engineering Applications of Artificial …, 2024 - Elsevier
Neural networks outperform in wind speed prediction due to their powerful nonlinear fitting.
Accurate wind speed prediction is vital for enhancing wind energy utilization and addressing …
Accurate wind speed prediction is vital for enhancing wind energy utilization and addressing …
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Z Shang, Y Chen, D Lai, M Li, Y Yang - Expert Systems with Applications, 2024 - Elsevier
Accurate wind speed forecasting holds the potential to optimize wind farm design and
enhance the utilization of wind energy resources. However, the majority of current research …
enhance the utilization of wind energy resources. However, the majority of current research …
Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting
Microgrids (MGs) powered by renewable energy sources (RES) like solar and wind face
integration and management challenges due to their variability and fluctuating energy …
integration and management challenges due to their variability and fluctuating energy …
Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data
B Ramadevi, VR Kasi, K Bingi - Knowledge-Based Systems, 2024 - Elsevier
In real-world datasets, missed data is often expected due to sensor errors, environmental
conditions, communication errors, and other technical limitations. These factors can affect …
conditions, communication errors, and other technical limitations. These factors can affect …
Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Air pollution is a substantial issue for public health. Predicting the levels of airborne
particles, especially those originating from natural phenomena like sand mists from the …
particles, especially those originating from natural phenomena like sand mists from the …
[HTML][HTML] Optimization and analysis of distributed power carrying capacity of distribution network based on DR-DQN
Z Yang, F Yang, H Min, Y Liu, N Zhang… - Frontiers in Energy …, 2024 - frontiersin.org
The booming development of distributed power sources in power systems has drawn
attention to the carrying capacity and stability of the power grid, becoming a key challenge …
attention to the carrying capacity and stability of the power grid, becoming a key challenge …
[HTML][HTML] Short-Term Wind Speed Prediction for Bridge Site Area Based on Wavelet Denoising OOA-Transformer
Y Gao, B Cao, W Yu, L Yi, F Guo - Mathematics, 2024 - mdpi.com
Predicting wind speed in advance at bridge sites is essential for ensuring bridge
construction safety under high wind conditions. This study proposes a short-term speed …
construction safety under high wind conditions. This study proposes a short-term speed …
Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm
P Ponnuswamy, SC Palaniappan - Energy Sources, Part A …, 2024 - Taylor & Francis
Renewable energy resources, like the power of the wind, are the essential sources of
energy in today's world. To keep down the greenhouse energy degasification and stop …
energy in today's world. To keep down the greenhouse energy degasification and stop …