Results 221 to 230 of about 94,406 (293)

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

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

An MILP approach for optimal operation of unbalanced distribution networks through coordinated network reconfiguration and SOP utilization. [PDF]

Sci Rep
Ayazi AM, Shakarami MR, Doostizadeh M, Namdari F, Nikzad MR.   +4 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

Multiple imputation of multilevel data with single-level models: A fully conditional specification approach using adjusted group means. [PDF]

Behav Res Methods
Grund S, Lüdtke O, Robitzsch A.
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

Resolving sampling and population-size biases in domestication genomics supports a South Asian origin of walnuts. [PDF]

Genome Biol
Chen CJ, Pang XX, Ding YM, Zhang WP, Yang Y, Liu J, Nersesyan A, Zhang BW, Renner SS, Zhang DY, Bai WN.   +10 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

RAISE-FER: a massive cross-dataset augmented facial expression dataset. [PDF]

Front Robot AI
Palestra G, Palmisano D, De Carolis BN.
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