Forecasting Sales Revenue by Artificial Neural Network Methods in the Airline Industry: A Case Study in Saudi Arabia
Institute of Science and Technology, King Saud University, 2018
RAED KALANTAN
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Comparative analysis of XGBoost and LightGBM methods for day ahead spot natural gas price forecasting
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
DOĞUKAN ŞAHİN
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Short term electricity load forecasting with deep learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
İBRAHİM YAZICI
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Short-term wind power generation forecasting by coupling numerical weather prediction models and machine learning algorithms
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
CEM ÖZEN
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Proposal for a forecasting methodology to predict commercial real estate values in Istanbul using social big data
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
MARAL TAŞCILAR
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Short-term load forecasting by using artificial neural networks
FEN BİLİMLERİ ENSTİTÜSÜ, BAHÇEŞEHİR ÜNİVERSİTESİ, 2018
USMAN NAJEEB KHAN
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Forecasting of renewable power generation in European markets via long short-term memory neural networks
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, BAHÇEŞEHİR ÜNİVERSİTESİ, 2022
ALPER ÜNAL
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Developing a decision-support system using machine learning and deep learning models for daily demand forecasting: A case study
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
RANA EZGİ KÖSE
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Deep learning approaches for hailstorm detection and forecasting using CNN and LSTM algorithms: Comparative evaluation of radar products
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
NAHİT ÇATMADIM
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Short-term and medium-term wind speed forecasting via adaptive neuro-fuzzy inference systems
FEN BİLİMLERİ ENSTİTÜSÜ, BAHÇEŞEHİR ÜNİVERSİTESİ, 2019
ALIREZA SHATERZADEH YAZDI
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Investigating effects of better soil moisture initialization on forecasting capability with WRF model
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
ŞULE HALİLOĞLU
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Electricity consumption forecasting with artifical neural network for fast-moving consumer goods sector
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
GÜLFEM YEŞİL
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Forecasting electricity prices in Turkey: A comparison of classical econometrics and machine learning techniques
SOSYAL BİLİMLER ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2018
YUNUS EMRE KARAGÜLLE
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Fuzzy-Enhanced Smart Building Energy
Forecasting: A Case Study from the 2025 GECAD
Competition
2025 14th International Conference on Renewable Energy Research and Applications (ICRERA), Viyana/AVUSTURYA, 27 Ekim 2025, ISSN: 2572-6013
GÜNEŞ CAN GÖRKEM,ÖZDEMİR GÜLCİHAN
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Short Term Electricity Load Forecasting with Alternative Cross Validation Approaches
INFUS 2025, İSTANBUL/TÜRKİYE, Vol. 1531, 29 Temmuz 2025, s. 271-277
ESKI DORUK,KAYA TOLGA
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Retail Sales Forecasting Using Competitor Data: An Extreme Gradient Boosting Model Optimized with Optuna
The International Symposium for Production Research 2025 (ISPR2025), Istanbul/TÜRKİYE, 9 Ekim 2025
FERYAD VAHİT,ÖZER MİRZA,AYDIN MURAT,TURHAN İLHAN RECEP,ÖZCAN TUNCAY
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Forecasting Solar Energy: Leveraging Artificial Intelligence and Machine Learning for Sustainable Energy Solutions
Journal of Economic Surveys, Vol. 39, No. 5, Aralık 2025, s. 1837-2334, ISSN: 0950-0804
SAADATİ TARANEH,BARUTÇU BURAK
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Recurrent Neural Networks Based Wind Speed Forecasting Models: A Case Study of Yalova
Journal of Intelligent Systems: Theory and Applications, Vol. 5, Ocak 2022, ISSN: 2651-3927
KİRİŞ ZELİHA NUR, BEYCA ÖMER FARUK, KOSANOĞLU FUAT
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Applications for Advanced Machine Learning Methods for Copper Price Forecasting
Global Joint Conference on Industrial Engineering and Its Application Areas, 12 Ağustos 2025
ARI EMRE,GÜRCAN ÖMER FARUK,BEYCA ÖMER FARUK,ÜSTÜNDAĞ ALP
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Empirical-singular-wavelet based machine learning models for sea level forecasting in the bosphorus strait: A performance analysis
Ocean Modelling, Vol. 188, Nisan 2024, ISSN: 1463-5003
KARTAL ELİF,ALTUNKAYNAK ABDÜSSELAM
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