Improving predictive reliability and automation of smart grids using the StarNet ensemble model
A
Amit Chhabra
(Pfizer, New York)
S
Sunil K. Singh
S
Sudhakar Kumar
M
Manraj Singh
U
Utkarsh Chauhan
S
Saksham Arora
W
Wadee Alhalabi
V
Varsha Arya
B
Bassma Saleh Alsulami
C
Ching-Hsien Hsu
B
Brij B. Gupta
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
February 19, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (11)
A
Amit Chhabra
Pfizer, New York
S
Sunil K. Singh
S
Sudhakar Kumar
M
Manraj Singh
U
Utkarsh Chauhan
S
Saksham Arora
W
Wadee Alhalabi
V
Varsha Arya
B
Bassma Saleh Alsulami
C
Ching-Hsien Hsu
B
Brij B. Gupta
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w