Improvement of electrical transport properties of La0.7Ca0.16Sr0.08Ag0.06MnO3 polycrystalline ceramics via optimizing the sintering temperatures DOI

Yufei Du,

Zihao Chen, Yiliang Liu

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 180688 - 180688

Published: April 1, 2025

Language: Английский

Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications DOI
Sadaf Noreen, Sajjad Hussain Sumrra,

Abrar U. Hassan

et al.

Journal of Fluorescence, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

Citations

2
Applying ensemble machine learning models to predict hydrogen production rates from conventional and novel solar PV/T water collectors DOI

Sridharan Mohan

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 102, P. 1377 - 1398

Published: Jan. 17, 2025

Language: Английский

Citations

2
Next-generation solar energy: Progress, stability, and prospects of polymer-modified Perovskite solar cells; A review DOI
Pei Zhang,

Huanggen Yang,

Qi Zheng

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 1088 - 1113

Published: Feb. 8, 2025

Language: Английский

Citations

2
Evaluating the electronic and structural basis of carbon selenide-based quantum dots as photovoltaic design materials: A DFT and ML analysis DOI
Afaf Murtadha Kadhum, Azal Shakir Waheeb, Masar Ali Awad

et al.

Solar Energy, Journal Year: 2024, Volume and Issue: 284, P. 113068 - 113068

Published: Nov. 4, 2024

Language: Английский

Citations

10
Exploring structural basis of photovoltaic dye materials to tune power conversion efficiencies: a DFT and ML analysis of Violanthrone DOI
Sajjad Hussain Sumrra, Cihat Güleryüz,

Abrar U. Hassan

et al.

Materials Chemistry and Physics, Journal Year: 2024, Volume and Issue: unknown, P. 130196 - 130196

Published: Nov. 1, 2024

Language: Английский

Citations

9
Optimal Sizing and Techno-economic Analysis of Combined Solar Wind Power System, Fuel Cell and Tidal Turbines Using Meta-heuristic Algorithms: A Case Study of Lavan Island DOI Creative Commons
Heidar Ali Talebi, Javad Nikoukar, Majid Gandomkar

et al.

International Journal of Computational Intelligence Systems, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 27, 2025

Language: Английский

Citations

1
Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model DOI Creative Commons

Venkatachalam Mohanasundaram,

R. Balamurugan

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

Published: Feb. 3, 2025

As the global energy demand continues to produce, photovoltaic (PV) solar has emerged as a key Renewable Energy Source (RES) due its sustainability and potential reduce dependence on fossil fuels. However, accurate forecasting of Solar (SE) output remains significant challenge inherent variability intermittency irradiance (SI), which is affected by factors such weather conditions, geographic location, seasonal patterns. Reliable prediction models are crucial for optimizing management, ensuring grid stability, minimizing operational costs. To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. Using RSTL differentiate between time series data into development, in nature, residual factors, methodology addresses SI's unpredictable nature intermittent operation provides basis predictions. ASOA improves LSTM features constantly finding exploiting resources adopting motivation from seagulls' collecting migration behaviours. Parameter standardization employing ASOA, decomposition approach, conceptual model networks all presented work. The proposed been contrasted conventional methods applying testing environment incorporating essential Meteorological Factors (MF) historical SE datasets. study performance measurements (RMSE, MAE, R2) demonstrates improvements accuracy results highlight implications regarding subsequent studies real-world uses prediction, accentuating positive impacts adaptive optimized performance.

Language: Английский

Citations

1
A near-perfect solar metamaterial absorber with material substitutability for high-efficiency solar thermal conversion DOI
Jinping Zhang, Yan Chen, Shanjun Chen

et al.

Applied Materials Today, Journal Year: 2025, Volume and Issue: 43, P. 102630 - 102630

Published: Feb. 8, 2025

Language: Английский

Citations

1
Optimizing Battery and Supercapacitor Management in Electric Vehicles: A Hybrid Approach for Enhanced Performance and Reduced Harmonics DOI Creative Commons
Siva Ramkumar M,

S. Muthukrishnan,

Jayant Giri

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105815 - 105815

Published: Feb. 1, 2025

Language: Английский

Citations

1
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

1