Classification of power quality disturbances by using ensemble technique. - Seçkin Karasu; Saim Baskan (SIU, 2016)

Prediction of wind speed with non-linear autoregressive (NAR) neural networks. - Seçkin Karasu; Aytaç Altan; Zehra Saraç; Rifat Hacioglu (SIU, 2017)

Classification of power quality disturbances with S-transform and artificial neural networks method. - Seçkin Karasu; Zehra Saraç (SIU, 2017)

Prediction of Bitcoin prices with machine learning methods using time series data. - Seçkin Karasu; Aytaç Altan; Zehra Saraç; Rifat Hacioglu (SIU, 2018)

Classification of power quality events signals with pattern recognition methods by using Hilbert transform and genetic algorithms. - Seçkin Karasu; Zehra Saraç (SIU, 2018)

Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms. - Seçkin Karasu; Zehra Saraç (Swarm Evol. Comput., 2019)

Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods. - Seçkin Karasu; Zehra Saraç (Digit. Signal Process., 2020)

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer. - Aytaç Altan; Seçkin Karasu; Enrico Zio (Appl. Soft Comput., 2021)

The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances. - Seçkin Karasu; Zehra Saraç (Cogn. Syst. Res., 2022)

Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company. - Mehmet Pekkaya; Zafer Uysal; Aytaç Altan; Seçkin Karasu (Turkish J. Electr. Eng. Comput. Sci., 2024)