Middle anatolian region short term load forecasting using artificial neural networks
ELECTRIC POWER COMPONENTS AND SYSTEMS, Vol. 34, No. 6, Haziran 2006, s. 707-724
DEMİRÖREN AYŞEN
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Deep-learning-based short-term electricity load forecasting: A real case application
Engineering Applications of Artificial Intelligence, Vol. 109, Ocak 2022, ISSN: 0952-1976
YAZICI İBRAHİM, BEYCA ÖMER FARUK, DELEN DURSUN
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Application of Discrete 3-level Nested Logit Model in Travel Demand Forecasting as an Alternative to Traditional 4-Step Model
INTERNATIONAL JOURNAL OF ENGINEERING, Vol. 32, No. 10, Ekim 2019, s. 1416-1428, ISSN: 1025-2495
TEZCAN HÜSEYİN ONUR, ELMORSSY MAHMOUD MORSSY MOHAMED
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Improving WRF GHI Forecasts with Model Output Statistics Progress in Clean Energy, Volume 1.
Cham/İSVİÇRE, 2015, s. 291-299, IMPACT OF INTEGRATED CLEAN ENERGY ON THE FUTURE OF THE MEDITERRANEANENVIRONMENT
BARUTÇU BURAK, TANRIÖVER ŞEYDA TİLEV, SAKARYA SERİM, İNCECİK SELAHATTİN, SAYINTA F MERT, ÇALIŞKAN ERHAN, KAHRAMAN ABDULLAH, AKSOY BÜLENT, KAHYA CEYHAN, TOPÇU HATİCE SEMA
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A novel deep learning model based on convolutional neuralnetworks for employee churn prediction
JOURNAL OF FORECASTING, Vol. 41, No. 3, Eylül 2022, s. 539-550, ISSN: 0277-6693
PEKEL ÖZMEN EBRU, ÖZCAN TUNCAY
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An Optimized Nonlinear Grey Bernoulli Model for Forecasting the Electricity Consumption During COVID-19 Pandemic: A Case for Turkey
INFUS 2021:International Conference on Intelligent and Fuzzy Systems, Istanbul/TÜRKİYE, 24 Ağustos 2021, s. 649-656
KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE, ÖZCAN TUNCAY
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Fuzzy grey forecasting model optimized by moth-flame optimization algorithm for short time electricity consumption
Journal of Intelligent & Fuzzy Systems, Vol. 42, No. 1, Ocak 2022, s. 129-138, ISSN: 1064-1246
TANYOLAÇ BİLGİÇ CEYDA, BİLGİÇ BOĞAÇ, ÇEBİ FERHAN
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Demand Forecasting of a Company that Produces by Mass Customization with Machine Learning
In International Conference on Intelligent and Fuzzy Systems, 14 Ağustos 2021
KÖY EZGİ, KONYALIOĞLU AZİZ KEMAL, ÇEBİ FERHAN
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Demand Forecasting of a Company that Produces by Mass Customization with Machine Learning
In International Conference on Intelligent and Fuzzy Systems, Vol. 308, 14 Ağustos 2021
YAĞCIOĞLU ENGİN, TEKİN AHMET TEZCAN, ÇEBİ FERHAN
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An Optimized Nonlinear Grey Bernoulli Model for Forecasting the Electricity Consumption During COVID-19 Pandemic: A Case for Turkey
INFUS 2021:International Conference on Intelligent and Fuzzy Systems, Istanbul/TÜRKİYE, 24 Ağustos 2021, s. 649-656
KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE, ÖZCAN TUNCAY
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Forecasting Quality of Service for Next-Generation Data-Driven WiFi6 Campus Networks
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, Vol. 18, No. 4, Aralık 2021, s. 4744-4755, ISSN: 1932-4537
AK ELİF, CANBERK BERK
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Forecasting Quality of Service for Next-Generation Data-Driven WiFi6 Campus Networks
IEEE Transactions on Network and Service Management, Vol. 18, No. 4, Ocak 2021, s. 4744-4755, ISSN: 1932-4537
AK ELİF, CANBERK BERK
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Deep learning-based cyber resilient dynamic line rating forecasting
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, Vol. 142, Kasım 2022, s. 1-16, ISSN: 0142-0615
MORADZADEH ARASH, MOHAMMADPOURFARD MOSTAFA, GENÇ VEYSEL MURAT İSTEMİHAN, ŞEKER ŞAHİN SERHAT, MOHAMMADI-IVATLOO BEHNAM
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Electric load forecasting under False Data Injection Attacks using deep learning
ENERGY REPORTS, Vol. 8, Kasım 2022, s. 9933-9945, ISSN: 2352-4847
MORADZADEH ARASH, MOHAMMADPOURFARD MOSTAFA, CHARALAMBOS KONSTANTİNOU, GENÇ VEYSEL MURAT İSTEMİHAN, TAESİC KİM, MOHAMMADI-IVATLOO BEHNAM
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A LONG SHORT TERM MEMORY APPLICATION ON THE TURKISH INTRADAY ELECTRICITY PRICE FORECASTING
4th Global Business Research Congress, İstanbul/TÜRKİYE, Vol. 7, No. 1, 24 Mayıs 2018, s. 126-130
YORULMUŞ MUHAMMED HAKAN,UĞURLU UMUT,TAŞ OKTAY
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Load Forecasting Using Multivariate Adaptive Regression Splines for Turkish Electricity System
28th European Conference on Operational Research (EURO 2016), POZNAN/POLONYA, 3 Temmuz 2016
NALÇACI GAMZE, ÖZMEN AYŞE, WEBER GERHARD WİEHELM, GÜL ÖMER MELİH
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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce
Acta Infologica, Vol. 7, No. 1, Temmuz 2023, s. 59-70, ISSN: 2602-3563
ECEVİT ALP, ÖZTÜRK İREM, DAĞ MUSTAFA, ÖZCAN TUNCAY
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Deep Learning Based Models for the CO2 emission forecasting in Turkey
Tenth International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE 2023) and SECOTOX Conference, Skiathos/YUNANİSTAN, 5 Haziran 2023
ÖZCAN TUNCAY, KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE
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Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Journal of Forecasting, Vol. 42, No. 6, Eylül 2023, s. 1329-1340, ISSN: 1099-131X
DURKAYA BETÜL, ÖZCAN TUNCAY
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Machine Learning Based Approaches for Short Term Sales Forecasting in E-Commerce
The 22th International Symposium for Production Research (ISPR2022), 6 Ekim 2022, ISSN: 2195-4356
ALTUNCU MEHMET ARDIL, TAŞTAN MUHAMMED HAMZA, ÖZCAN TUNCAY
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