Acar et al. (2025) Correction: Median-Linear model for solar radiation estimation by comparison with ANFIS and Angström-Prescott methods
Identification
- Journal: Modeling Earth Systems and Environment
- Year: 2025
- Date: 2025-10-14
- Authors: Ramazan Acar, Kemal SAPLIOĞLU, Yavuz Selim Güçlü
- DOI: 10.1007/s40808-025-02614-6
Research Groups
- Munzur University, Tunceli, Turkey
- Süleyman Demirel University, Isparta, Turkey
- Istanbul Technical University, Istanbul, Turkey
Short Summary
The original article developed and evaluated a novel Median-Linear model for estimating solar radiation, comparing its performance against established ANFIS and Angström-Prescott methods.
Objective
- To develop and assess the performance of a new Median-Linear model for solar radiation estimation, and to compare its accuracy with the ANFIS and Angström-Prescott methods. (Inferred from the original article's title)
Study Configuration
- Spatial Scale: Not available in the provided text.
- Temporal Scale: Not available in the provided text.
Methodology and Data
- Models used: Median-Linear model, ANFIS (Adaptive Neuro-Fuzzy Inference System), Angström-Prescott methods.
- Data sources: Not available in the provided text.
Main Results
- Not available in the provided text (as this is a correction notice). The original article would have presented the quantitative and qualitative findings regarding the performance of the Median-Linear model in comparison to the other methods for solar radiation estimation.
Contributions
- Not available in the provided text (as this is a correction notice). The original article would have detailed the novel contributions of the Median-Linear model to the field of solar radiation estimation.
Funding
- Scientific Research Projects Coordination Unit of Istanbul Technical University under Project Number MGA-2025-46432.
Citation
@article{Acar2025Correction,
author = {Acar, Ramazan and SAPLIOĞLU, Kemal and Güçlü, Yavuz Selim},
title = {Correction: Median-Linear model for solar radiation estimation by comparison with ANFIS and Angström-Prescott methods},
journal = {Modeling Earth Systems and Environment},
year = {2025},
doi = {10.1007/s40808-025-02614-6},
url = {https://doi.org/10.1007/s40808-025-02614-6}
}
Original Source: https://doi.org/10.1007/s40808-025-02614-6