Results 261 to 270 of about 266,856 (351)

Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks. [PDF]

Sensors (Basel)
Kim H, So J.
europepmc   +1 more source

The state of the art of condition monitoring : where do we go from here? [PDF]

, 2013
Catterson, Victoria, Johnstone, Carl, Lewin, P. L., Rowland, S.M., Steele-Davies, J., Walton, C.   +5 more
core  

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Design of a Hydroelectronic Solar‐Tracking System for Solar Panels

Energy Science &Engineering, EarlyView.
A prototype of a passive solar‐tracking system utilizing buoyant force based on water level was developed, and its MATLAB/Simulink model was implemented. This study is expected to encourage researchers to design solar‐tracking mechanisms using metals with different thermal expansion coefficients, air, oil, and other fluids. ABSTRACT This study presents
Ufuk Süğürtin, Türker Fedai Çavuş
wiley   +1 more source

DCDW-YOLOv11: An Intelligent Defect-Detection Method for Key Transmission-Line Equipment. [PDF]

Sensors (Basel)
Wang D, Song R, Liu M, Wang X, Zhang C, Wang Z, Zhao D.   +6 more
europepmc   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

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, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Energy-driven K-means-based LEACH routing protocol for enhanced lifetime in wireless sensor networks. [PDF]

Sci Rep
Saroit IA, Tarek D.
europepmc   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

Simulation and analysis of magnetic fields around High-Voltage power lines using Python for enhanced safety and design insights. [PDF]

Sci Rep
Bubu PE, Eze VHU, Adie AE, Mustafa MM, Ukagwu KJ, Alamu LK.   +5 more
europepmc   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source