Venkatraman, D., & Pitchaipillai, V. (2024). Deep Learning-Based Auto-LSTM Approach for Renewable Energy Forecasting: A Hybrid Network Model. Traitement du Signal, 41(1), 525. https://doi.org/10.18280/ts.410148
Chicago Style (17th ed.) CitationVenkatraman, Deenadayalan, and Vaishnavi Pitchaipillai. "Deep Learning-Based Auto-LSTM Approach for Renewable Energy Forecasting: A Hybrid Network Model." Traitement Du Signal 41, no. 1 (2024): 525. https://doi.org/10.18280/ts.410148.
MLA (9th ed.) CitationVenkatraman, Deenadayalan, and Vaishnavi Pitchaipillai. "Deep Learning-Based Auto-LSTM Approach for Renewable Energy Forecasting: A Hybrid Network Model." Traitement Du Signal, vol. 41, no. 1, 2024, p. 525, https://doi.org/10.18280/ts.410148.
Warning: These citations may not always be 100% accurate.