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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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 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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Time series forecasting via computational intelligence methods
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2016
ATAKAN ŞAHİN
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Short term load forecasting by using artificial neural networks
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
ALI GHADIRIASL NOBARI
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Day ahead forecasting of photovoltaic power generation via machine learning models
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, BAHÇEŞEHİR ÜNİVERSİTESİ, 2024
AHMET TUĞRAALP BİTİREN
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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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A comparative analysis of LSTM and lıghtgbm models in short-term electricity load forecasting: a case study from türkiye
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
MUHAMMET FURKAN BAYSAL
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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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Sales forecasting in fashion retail industry with classical and machine learning methods
SOSYAL BİLİMLER ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
HANİFE IŞIK
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Demand forecasting with individual and combined models in pharmaceutical industry
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
SALİH İMECE
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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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Electrical load demand forecasting application using support vector machines
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2011
DİLARA DEMREN
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Forecasting for bioethanol production in Turkey
ENERJİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2017
EZGİ BAYRAKDAR ATEŞ
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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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A Combined Seasonal ARIMA and ANN Model for Improved Results in Electricity Spot Price Forecasting Case Study in Turkey
PICMET ’xx16, 4 Eylül 2016
ÖZÖZEN AVNİ,KAYAKUTLU GÜLGÜN,KETTERER MARCEL,KAYALICA MEHMET ÖZGÜR
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Application of ANN for Short Term Forecasting of Wind Power Density
XV International Scientific Conference, Renewable Energy & Innovative Technologies, 10 Haziran 2016
AKINCI TAHİR ÇETİN,NOĞAY HIDIR SELÇUK,GUSEİNOVİENE ELEONORA,JELENA DİKUN,ŞEKER ŞAHİN SERHAT
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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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Performance Evaluation of the Short Term Forecasting GHI by WRF in Turkey
COST WIRE Status Workshop, Budapeşte/MACARİSTAN, 10 Ekim 2013
TANRIÖVER ŞEYDA,KAHRAMAN ABDULLAH,İNCECİK SALAHATTİN,KAHYA CEYHAN,TOPÇU HATİCE SEMA,AKSOY BÜLENT
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Sales forecasting by artificial neural networks for the apparel retail chain stores An application
Journal of Intelligent Fuzzy Systems, Aralık 2020, ISSN: ISSN 1875-8967
ÇAĞLAYAN NADİDE,SATOĞLU ŞULE ITIR,CAN EMİNE NİSA
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