Results 231 to 240 of about 12,297 (303)

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

Differential geometry-based harmonic analysis of three-phase systems. [PDF]

Sci Rep
Sundriyal N, Thakur P, Dixit A, Gupta S, Kumar M.   +4 more
europepmc   +1 more source

Exploring Low‐Concentrating Photovoltaic Systems and Solar Cell Solutions for Nigeria's Renewable Energy Future

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, Nazila Fough, Firdaus Muhammad‐Sukki, Mohd Khairul Amri Kamarudin, Nazmi Sellami   +4 more
wiley   +1 more source

Optimal locations and capacities of multiple BESSs in a RES-integrated distribution network: a real-world case study. [PDF]

Sci Rep
Khunkitti S, Wichitkrailat K, Siritaratiwat A.   +2 more
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

A new multi-objective-stochastic framework for reconfiguration and wind energy resource allocation in distribution network incorporating improved dandelion optimizer and uncertainty. [PDF]

Sci Rep
Duan F, Basem A, Jasim DJ, Belhaj S, Eslami M, Khajehzadeh M, Palani S.   +6 more
europepmc   +1 more source

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

Energy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Electrical vehicles impact on unbalanced distribution networks considering different loads and energy prices. [PDF]

Heliyon
Sadat SMAM, Mohammadnezhad Shourkaei H, Soleymani S.   +2 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

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source