Teke, O. And Depci, T. 2026. Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY .

Teke, O., & Depci, T., (2026). Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY .

Teke, ORKUN, And Tolga Depci. "Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study," PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY , 2026

Teke, ORKUN And Depci, Tolga. "Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study." PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY , 2026

Teke, O. And Depci, T. (2026) . "Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study." PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY .

@article{article, author={ORKUN TEKE And author={Tolga Depci}, title={Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study}, journal={PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY}, year=2026}