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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Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey
IEEE Global Energy Conference (GEC2022), Vol. 1, No. 1, 26 Ekim 2022, s. 13-18
PÜRLÜ MİKAİL, ANDİÇ CENK, TÜRKAY BELGİN, NOBARİ ALİ
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A Short Term Wind Energy Prediction System for Turkey (SWEPS)
EWEA Wind Power Forecasting Technology Workshop, 3 Aralık 2013
MENTEŞ ŞÜKRAN SİBEL, ÜNAL YURDANUR, İNCECİK SELAHATTİN, TAN ELÇİN, BARUTÇU BURAK, ÖNOL BARIŞ, ÜNAL EMEL, EFE BAHTİYAR, TOPÇU HATİCE SEMA, RÜSTEMOĞLU SEVİNÇ, ÖZDEMİR EMRAH TUNCAY, BORHAN YUNUS
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Do corporate factors tell about market liquidity of stocks? A worldwide analysis
Forecasting Financial Markets Conference, Milano/İTALYA, 29 Haziran 2022
GÜLOĞLU ZEYNEP, EKİNCİ CUMHUR ENİS
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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
Neural Computing and Applications, Vol. 34, No. 1, Ağustos 2022, s. 783-812, ISSN: 0941-0643
BAŞAKIN EYYUP ENSAR, EKMEKCİOĞLU ÖMER, ÇITAKOĞLU HATİCE, ÖZGER MEHMET
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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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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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Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
Measurement, Vol. 103, Haziran 2017, s. 52-61, ISSN: 02632241
YASLAN YUSUF,BİCAN BAHADIR
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Proposal for a Forecasting Methodology to Predict Commercial Real Estate Values in Istanbul Using Social Big Data
28th Annual European Real Estate Society Conference, Milano/İTALYA, 23 Haziran 2022
TAŞÇILAR MARAL, ARSLANLI KEREM YAVUZ
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Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6
Natural Resources Research, Vol. 29, No. 2, Nisan 2020, s. 1465-1467, ISSN: 1520-7439
BAŞAKIN EYYUP ENSAR,EKMEKCİOĞLU ÖMER
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Demand Forecasting in Pharmaceutical Industry Under Covid-19 Pandemic Conditions by Machine Learning and Time Series Analysis
INFUS 2023- International Conference on Intelligent and Fuzzy Systems, İstanbul/TÜRKİYE, Vol. 759, 22 Ağustos 2023, s. 157-165
TAŞ İREM, SATOĞLU ŞULE ITIR
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Demand forecasting model using hotel clustering findings for hospitality industry
Information Processing & Management, Vol. 59, Ocak 2022, ISSN: 0306-4573
KAYA KIYMET, YILMAZ YAREN, YASLAN YUSUF, ÖĞÜDÜCÜ ŞULE, ÇINGI FURKAN, ÇINGI FURKAN
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Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market
2022 IEEE 4th Global Power, Energy and Communication Conference (GPECOM), Vol. 1, No. 1, 14 Haziran 2022, s. 517-522
PÜRLÜ MİKAİL, TÜRKAY BELGİN, ANDİÇ CENK, AYDIN ESRA, CANOL BİLAL, KÜÇÜKASLAN BURAK
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Major factors affecting soil radon emanation
NATURAL HAZARDS, Vol. 114, No. 2, Ocak 2022, s. 24, ISSN: 0921-030X
İNAN SEDAT, SEYİS CEMİL, YALÇIN MEHMET NAMIK
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A Bayesian causal map for inflation analysis: The case of Turkey
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, Vol. 175, No. 2, Ocak 2006, s. 17-1284, ISSN: 0377-2217
ÖNSEL EKİCİ ŞULE, ÜLENGİN FUSUN, ÜLENGİN KEMAL BURÇ
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Data-driven ship berthing forecasting for cold ironing in maritime transportation
APPLIED ENERGY, Vol. 326, Kasım 2022, ISSN: 0306-2619
ABU BAKAR NUR NAJİHAH, BAZMOHAMMADİ NAJMEH, ÇİMEN HALİL, UYANIK TAYFUN, VAZQUEZ JUAN C., GUERRERO JOSEP M.
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Forecasting Automobile Sales in Turkey with Artificial Neural Networks
International Journal of Business Analytics (IJBAN), Vol. 6, No. 4, Ekim 2019, s. 50-60, ISSN: 2334-4547
KAYA AYCAN,KAYA GİZEM,ÇEBİ FERHAN
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Demand forecasting model using hotel clustering findings for hospitality industry
Information Processing & Management, Vol. 59, Ocak 2022, ISSN: 0306-4573
KAYA KIYMET, YILMAZ YAREN, YASLAN YUSUF, ÖĞÜDÜCÜ ŞULE, ÇINGI FURKAN
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Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines
IEEE ACCESS, Vol. 10, Ocak 2022, ISSN: 2169-3536
CANBERK BERK
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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
NEURAL COMPUTING & APPLICATIONS, Vol. 34, No. 1, Ocak 2022, ISSN: 0941-0643
BAŞAKIN EYYUP ENSAR, EKMEKCİOĞLU ÖMER, ÇITAKOĞLU HATİCE, ÖZGER MEHMET
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