BİLGİLİ, M. Et Al. 2020. Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting. INTERNATIONAL JOURNAL OF GREEN ENERGY .

BİLGİLİ, M., Yildirim, A., ÖZBEK, A., ÇELEBİ, K., & Ekinci, F., (2020). Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting. INTERNATIONAL JOURNAL OF GREEN ENERGY .

BİLGİLİ, MEHMET Et Al. "Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting," INTERNATIONAL JOURNAL OF GREEN ENERGY , 2020

BİLGİLİ, MEHMET Et Al. "Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting." INTERNATIONAL JOURNAL OF GREEN ENERGY , 2020

BİLGİLİ, M. Et Al. (2020) . "Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting." INTERNATIONAL JOURNAL OF GREEN ENERGY .

@article{article, author={MEHMET BİLGİLİ Et Al. }, title={Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting}, journal={INTERNATIONAL JOURNAL OF GREEN ENERGY}, year=2020}