Results 211 to 220 of about 74,909 (294)

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

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

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, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Combined machine learning - 3D physics based approach for building damage evaluation: the case of L'Aquila 2009. [PDF]

Sci Rep
Di Michele F, Pera D, Mazzieri I, Smerzini C, Stagnini E, Kastelic V, Carafa MMC, Aloisio R, Rubino B, Marcati P.   +9 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

Saddlepoint inference for rank-based k-sample tests in clustered survival trials. [PDF]

Sci Rep
Newer HA.
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

Predictive riccati control for enhancing power quality using extended pq theory in wind energy-based conversion systems. [PDF]

Sci Rep
Sundari KT, Umamaheswari MG.
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

Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation. [PDF]

PLoS One
Alemayehu B, Mishra S, Tejani GG, Tripathi S.   +3 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