Results 211 to 220 of about 167,660 (319)
Epileptic Disorders, EarlyView.Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources. [PDF]
Sci RepPham TD, Nguyen TT, Kien LC.
europepmc +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
A novel traveling-wave-based detection and self-healing approach for series faults in smart grids under renewable energy uncertainty. [PDF]
Sci RepElsadd MA +4 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Experimental Insights into Islanding Detection in PV Inverters: Foundations for a Parallel-Operation Test Standard. [PDF]
Sensors (Basel)Chmielowiec K, Piszczek A, Topolski Ł.
europepmc +1 more source
Energy Science &Engineering, EarlyView.A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Enhancing MPPT performance of a grid-connected Doubly-Fed induction generator-based wind power plant using hybrid ANFIS-PI control strategy. [PDF]
Sci RepBiyazne LW +3 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.This study explores the potential of solar PV and concentrating PV (CPV) technologies as sustainable energy solutions for Nigeria, highlighting their suitability in transitioning away from fossil fuels. By harnessing abundant solar resources, these technologies offer efficient, clean, and locally adaptable alternatives, supporting energy security ...
Sani Mohammed Lawal +4 more
wiley +1 more source