Rane, D., & Chaudhari, S. (2026). An Integrative Hybrid Feature Fusion Framework Using XGBoost--BiLSTM for Enhanced Solar Power Forecasting Accuracy. International Journal of Computer Information Systems & Industrial Management Applications, 18, 1346. https://doi.org/10.70917/ijcisim-2026-2466
Chicago Style (17th ed.) CitationRane, Digambar, and Sachin Chaudhari. "An Integrative Hybrid Feature Fusion Framework Using XGBoost--BiLSTM for Enhanced Solar Power Forecasting Accuracy." International Journal of Computer Information Systems & Industrial Management Applications 18 (2026): 1346. https://doi.org/10.70917/ijcisim-2026-2466.
MLA (9th ed.) CitationRane, Digambar, and Sachin Chaudhari. "An Integrative Hybrid Feature Fusion Framework Using XGBoost--BiLSTM for Enhanced Solar Power Forecasting Accuracy." International Journal of Computer Information Systems & Industrial Management Applications, vol. 18, 2026, p. 1346, https://doi.org/10.70917/ijcisim-2026-2466.