EG@COF as a novel layered porous composite for improving performance of supercapacitor DOI
Yulin Feng, Fen Xu, Lixian Sun

et al.

Journal of Porous Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Language: Английский

Preparation of Delafossite CuMnO2 and Polyaniline Nanohybrid Electrode for Asymmetric Supercapacitor DOI
Muhammad Arif,

A Bibi,

Imen Safra

et al.

Journal of Inorganic and Organometallic Polymers and Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

1
Ab-Initio based investigation of the optoelectronic, transport, mechanical properties of vacancy-ordered double perovskites A2PtI6 (A = Na, Li): An emerging class of solar cell and thermoelectric materials DOI
Anjali Kumari,

Jisha Annie Abraham,

Abhishek Kumar Mishra

et al.

Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 185, P. 112609 - 112609

Published: Feb. 18, 2025

Language: Английский

Citations

0
Facile fabrication of NbTe2 doped with Ag via hydrothermal route for approaching the high performance toward supercapacitor applications DOI

Kashan Ali Gillani,

Ahmed M. Fallatah, Mohamed M. Ibrahim

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(3)

Published: March 3, 2025

Language: Английский

Citations

0
Design and study of high efficiency CuAlO2/PANI nanohybrid electrode for next generation supercapacitor DOI

Elahi Bukhsh,

Abhinav Kumar, Arvind Kumar Yadav

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179441 - 179441

Published: March 1, 2025

Language: Английский

Citations

0
Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction DOI Creative Commons

Venkatachalam Mohanasundaram,

R. Balamurugan

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 13, 2025

Accurate forecasting of photovoltaic (PV) generated electricity is essential for efficiently managing and integrating Renewable Energy (RE) into distribution systems. This research investigation optimizes Feature Selection (FS) prediction results PV energy by applying Bayesian Density Estimation (BDE) with Elastic Net (ELNET) regression analysis. phenomenon unacceptable outcomes are prevalent when conventional algorithms on datasets significant addressing predictor multicollinearity. Improved FS multicollinearity control has been rendered feasible ELNET, which integrates the best features Ridge Lasso regression. ELNET eliminates these challenges through implementation L1 L2 penalties. Non-parametric comprehensive data regarding residual distributions impacts. By incorporating ELNET's regularisation abilities BDE's statistical adaptability, recommended ELNET-BDE proposed to attain more accurate reliable predictions. technique used assess massive sets developing from Visakhapatnam, India, historical generation combined definite Meteorological Factors (MF). Considering preliminary processing, FS, validation, outperforms existing methods. Research investigations demonstrate that model attains significantly lower Mean Absolute Error (MAE) Root Square (RMSE) than contesting Machine Learning (ML) like Artificial Neural Network (ANN), Support Vector (SVM), Random Forest (RF), Gradient Boosting Machines (GBM). Compared distinct techniques, RMSE can be minimized up 15% MAE 20%. The findings specify a substantial improvement in accuracy prediction, emphasizing how improving solar power grid integration improved RE management.

Language: Английский

Citations

0
Development of Bimetallic MOF with reduced bandgap for high-performance asymmetric supercapacitors DOI
Usama Zahid, Muhammad Ramzan Khawar, Sunmin Jang

et al.

Electrochimica Acta, Journal Year: 2025, Volume and Issue: unknown, P. 146103 - 146103

Published: March 1, 2025

Language: Английский

Citations

0
Dopant-free hole transport materials for perovskite solar cells and donor molecules for organic solar cells DOI

Zeeshana Bibi,

Javed Iqbal,

Ali Raza Ayub

et al.

Computational and Theoretical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 115199 - 115199

Published: March 1, 2025

Language: Английский

Citations

0
Superior electrochemical performance of CuS/FeSe2 for advanced asymmetric supercapacitor applications DOI Creative Commons
Anish Khan,

Danish Arif,

Atta Ullah Shah

et al.

Electrochemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 107915 - 107915

Published: March 1, 2025

Language: Английский

Citations

0
Exploring the potential of bismuth vanadate nanoparticles in supercapacitor technology DOI

Ritika Soni,

P. E. Lokhande, Deepak Kumar

et al.

Frontiers of Chemical Science and Engineering, Journal Year: 2025, Volume and Issue: 19(5)

Published: March 25, 2025

Language: Английский

Citations

0
Enhanced energy storage performance of two-dimensional vanadium oxide nanosheets for supercapacitors DOI

Sankaranarayanan Karthikeyan,

E. S. Sowbakkiyavathi,

M. Sindhuja

et al.

Ionics, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Language: Английский

Citations

0