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Explainability of a Deep Neural Network Model for Prediction of Solar Panels Generation: Comparative Study Cover

Explainability of a Deep Neural Network Model for Prediction of Solar Panels Generation: Comparative Study

Open Access
|Mar 2026

Figures & Tables

Figure 1.

Model architecture

Figure 2.

Explanation obtained with LIME

Figure 3.

Explanation obtained with SHAP

Figure 4.

Explanation obtained with Integrated Gradients

Figure 5.

Explanation obtained with Saliency Maps

Figure 6.

Fidelity values of methods

Figure 7.

Method Continuity Values
DOI: https://doi.org/10.14313/jamris-2026-008 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 79 - 84
Submitted on: Apr 13, 2024
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Accepted on: Jan 24, 2025
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Published on: Mar 31, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Rosalís Amador García, María Matilde García Lorenzo, Rafael E. Bello Pérez, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.