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] Improved Dujiangyan Irrigation System Optimization (IDISO): A Novel Metaheuristic Algorithm for Hydrochar Characteristics
J Shi, D Zhang, Z Sui, J Wu, Z Zhang, W Hu, Z Huo… - Processes, 2024 - mdpi.com
Hyperparameter tuning is crucial in the development of machine learning models. This study
introduces the nonlinear shrinking factor and the Cauchy mutation mechanism to improve …
introduces the nonlinear shrinking factor and the Cauchy mutation mechanism to improve …
[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 …