Solar Irradiation Prediction and Artificial Intelligence for Energy Efficiency in Sustainable Buildings, Case of Errachidia, Morocco
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48465-0_46
Reference10 articles.
1. Liu, Z., et al.: Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: challenges and future perspectives. Ener. AI 10, 100195 (2022). https://doi.org/10.1016/j.egyai.2022.100195
2. National Solar Radiation Database–Errachidia solar data information. https://nsrdb.nrel.gov/. Website visited on April 27th, 2023, at 10:21 pm
3. Laabab, I., Ziani, S., Benami, A.: Solar panels overheating protection—a review. Indonesian J. Electr. Eng. Comput. Sci. 29(1), 49–55 (2023). ISSN: 2502-4752. https://doi.org/10.11591/ijeecs.v29.i1.pp49-55
4. Laabab, I., Ziani, S., Benami, A.: A literature review of solar cell overheating control. In: Farhaoui, Y., Rocha, A., Brahmia, Z., Bhushab, B. (eds.) Artificial Intelligence and Smart Environment. ICAISE 2022. Lecture Notes in Networks and Systems, vol 635. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26254-8_7
5. Boutahir, M.K., Farhaoui, Y., Azrour, M.: Machine learning and deep learning applications for solar radiation predictions review: Morocco as a case of study. In: Yaseen, S.G. (eds.) Digital Economy, Business Analytics, and Big Data Analytics Applications. Studies in Computational Intelligence, vol. 1010. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05258-3_6
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