Results 241 to 250 of about 325,253 (307)
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
Quantum-driven frequency stability in Indian prospect smart grid with electric vehicle charging station integration and real-time hardware validation. [PDF]
Kaleeswari M, Sivakumar P, Aswini A.
europepmc +1 more source
Graphical abstract of wind energy study in the Vicinity of GolGohar Sirjan Mining and Industrial Company. ABSTRACT Wind energy is a central pillar of sustainable energy transition; however, its feasibility strongly depends on site‐specific wind regimes and economic conditions.
Hossein Amiri
wiley +1 more source
Risk identification model for power enterprises based on convolutional neural network. [PDF]
Pan W, Liu F.
europepmc +1 more source
Passing vehicles generate short‐duration wakes that can be redirected toward a vertical‐axis turbine. The interaction between wake structure, blade count, and rotational speed governs transient torque production. Low‐solidity configurations combined with tuned rotational speed enhance energy extraction under vehicle‐induced gusts.
Aydin Ulus, Stefan Ilie Moldovan
wiley +1 more source
Genetic data and meteorological conditions suggesting windborne transmission of H5N1 high-pathogenicity avian influenza between commercial poultry outbreaks. [PDF]
Nagy A, Černíková L, Sedlák K.
europepmc +1 more source
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali +5 more
wiley +1 more source
Deploying the common European manufacturing data space: The UNDERPIN and SM4RTENANCE frameworks' perspective. [PDF]
Ntafalias A +5 more
europepmc +1 more source
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 more
wiley +1 more source

