Παραπομπή σε μορφή APA (7η εκδ.)

Roy, P., Chakrabarty, D., & Chatterjee, D. (2025). Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models. 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on, 1. https://doi.org/10.1109/AICARE66005.2025.11402817

Παραπομπή σε μορφή Chicago (17η εκδ.)

Roy, Piya, Dipanwita Chakrabarty, και Debashis Chatterjee. "Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models." 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on 2025: 1. https://doi.org/10.1109/AICARE66005.2025.11402817.

Παραπομπή σε μορφή MLA (9th εκδ.)

Roy, Piya, et al. "Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models." 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on, 2025, p. 1, https://doi.org/10.1109/AICARE66005.2025.11402817.

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