Neural Network Based Model Comparison for Intraday Electricity Price Forecasting
Energies, Vol. 12, No. 23, Kasım 2019, s. 4557, ISSN: 1996-1073
ÖKSÜZ İLKAY, UĞURLU UMUT
|
Low flow forecasting with a lead time of 14 days for navigation and energy supply in the Rhine River
EGU General Assembly 2011, Vienna/AVUSTURYA, 6 Nisan 2011
DEMİREL MEHMET CÜNEYD,BOOİJ MARTİJN J,HOEKSTRA ARJEN Y
|
Multischeme ensemble forecasting of surface temperature using neural network over Turkey
Theoretical and Applied Climatology, Vol. 111, No. 3-4, Şubat 2013, s. 703-711, ISSN: 0177-798X
KADIOĞLU MİKDAT,SEDEF CAKİR,NİHAT CUBUKCU
|
Area Estimation and Yield Forecasting of Wheat in Southeastern Turkey Using a Machine Learning Approach
Journal of the Indian Society of Remote Sensing, Vol. 48, No. 12, Aralık 2020, s. 1757-1766, ISSN: 0255-660X
VANLI ÖMER, AHMAD ISHFAQ, ÜSTÜNDAĞ BURAK BERK
|
TARBiL sensor network and data fusion system for continuous time crop yield monitoring in Turkey
JRC – MARS Unit, EIA Workshop on crop yield forecasting in South East Europe, Üsküp/MAKEDONYA, 1 Ekim 2013
ÜSTÜNDAĞ BURAK BERK
|
Forecasting surface movements based on PSI time series using machine learning algorithms
International Journal of Remote Sensing, Vol. 45, Mart 2024, ISSN: 0143-1161
YAĞMUR AYDIN NUR,TAŞKIN KAYA GÜLŞEN,MUSAOĞLU NEBİYE,ERTEN ESRA
|
Short Term Electricity Consumption Forecasting: A case Study of Electric Utility at Turkey
International Scientific Conference on Engineering, technologies and Systems TECHSYS 2017, 18 Mayıs 2017
ÖNAL ŞÜKRAN EMEL
|
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
|
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, Ocak 2022, s. 783-812, ISSN: 0941-0643
BAŞAKIN EYYUP ENSAR, EKMEKCİOĞLU ÖMER, ÇITAKOĞLU HATİCE, ÖZGER MEHMET
|
Comparison of Auto-Regressive Model and Artificial Neural Networks for feedstock supply forecasting in first generation bioethanol production
International Conference on Energy and Thermal Engineering: Istanbul 2017 (ICTE 2017), İstanbul/TÜRKİYE, 25 Nisan 2017
BAYRAKDAR ATEŞ EZGİ, BARUTÇU BURAK, KARAOSMANOĞLU FİLİZ
|
Forecasting on first generation bioethanol production: A comparison of selected linear and non-linear models
Journal of Renewable and Sustainable Energy, Vol. 9, No. 4, Temmuz 2017, s. 43101, ISSN: 1941-7012
BAYRAKDAR ATEŞ EZGİ,BARUTÇU BURAK,KARAOSMANOĞLU FİLİZ
|
Integratıng Wavelet Decomposıtıon And Stackıng Ensemble Learnıng For Accurate Daıly Raınfall Forecastıng
ICHEAS 4th International Conference On HEALTH, ENGINEERING AND APPLIED Sciences, DUBAİ/BİRLEŞİK ARAP EMİRLİKLERİ, 14 Nisan 2023, s. 603-620
KÜLLAHCI KÜBRA, ALTUNKAYNAK ABDÜSSELAM
|
Eigen time series modeling: a breakthrough approach to spatio-temporal rainfall forecasting in basins
Neural Computing and Applications, Ocak 2024, ISSN: 0941-0643
KÜLLAHCI KÜBRA,ALTUNKAYNAK ABDÜSSELAM
|
Future-Proofing Construction: Forecasting Skill Sets for Sustainable Success in an Era of Rapid Technological Advancement
3rd International Graduate Research Symposium: IGRS’24, Istanbul/TÜRKİYE, 8 Mayıs 2024
LİGAY FİLİPP,TOKDEMİR ONUR BEHZAT
|
Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data
Asia-Pacific Journal of Regional Science, Vol. 6, Ağustos 2022, ISSN: 2509-7946
TAŞÇILAR MARAL, ARSLANLI KEREM YAVUZ
|
A Demand Forecasting Methodology for Fuzzy Environments
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol. 16, No. 1, 2010, s. 121-139
KABAK OEZGUER , UELENGİN FUESUN
|
Qualitative cross impact analysis with time consideration
Technological Forecasting and Social Change, Vol. 74, No. 5, Haziran 2007, s. 627-644, ISSN: 00401625
SERDAR ASAN ŞEYDA,ASAN UMUT
|
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
|
A Hybrid Model for Forecasting Sales in Turkish Paint Industry
International Journal of Computational Intelligence Systems, Vol. 2, No. 3, 2009, s. 277-287
ÜSTÜNDAĞ ALP
|
A forecasting approach for truckload spot market pricing
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, Vol. 97, Mart 2017, s. 55-68, ISSN: 0965-8564
BUDAK AYŞENUR,ÜSTÜNDAĞ ALP,GÜLOĞLU BÜLENT
|