An improved residual-based convolutional neural network for very short-term wind power forecastingCeyhun Yıldız, Ümit Budak, Hakan Açıkgöz et al.|Energy Conversion and Management|2020Cited by 251
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural networkDeniz Korkmaz, Hakan Açıkgöz|Engineering Applications of Artificial Intelligence|2022Cited by 177
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural NetworkDeniz Korkmaz, Ceyhun Yıldız, Hakan Açıkgöz|International Journal of Green Energy|2021Cited by 57
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural networkHakan Açıkgöz, Ceyhun Yıldız, Ümit Budak et al.|Energy|2021Cited by 48
Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence imagesHakan Açıkgöz, Ümit Budak, Deniz Korkmaz|Expert Systems with Applications|2023Cited by 46