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İnayet Özge Aksu

Observed names: Aksu, Inayet Ozge, Aksu, Inayet Özge, Aksu, Özge İnayet, Aksu, İnayet Özge, Inayet Ozge Aksu, İnayet Özge AKSU
ORCID: 0000-0002-0963-2982
Observed ORCID: 0000-0002-0963-2982
OpenAlex ID: A5055486558
Sliding mode PI control with backstepping approach for MIMO nonlinear cross‐coupled tank systems
2019 · Inayet Ozge Aksu, Ramazan Coban · International Journal of Robust and Nonlinear Control · 45
Sustainable Textile Manufacturing with Revolutionizing Textile Dyeing: Deep Learning-Based, for Energy Efficiency and Environmental-Impact Reduction, Pioneering Green Practices for a Sustainable Future
2024 · Kübra Yılmaz, İnayet Özge Aksu, et al. · Sustainability · 40
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A New Method for Generating Short-Term Power Forecasting Based on Artificial Neural Networks and Optimization Methods for Solar Photovoltaic Power Plants
2019 · Tugce Demirdelen, Inayet Ozge Aksu, et al. · Power systems · 30
Investigation of the Carbon Footprint of the Textile Industry: PES- and PP-Based Products with Monte Carlo Uncertainty Analysis
2023 · Tuğçe Demirdelen, İnayet Özge Aksu, et al. · Sustainability · 21
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Neuro-Controller Design by Using the Multifeedback Layer Neural Network and the Particle Swarm Optimization
2018 · Coban, Ramazan, Aksu, Inayet Ozge · Tehnicki vjesnik - Technical Gazette · 19
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A comprehensive study on dry type transformer design with swarm-based metaheuristic optimization methods for industrial applications
2018 · İnayet Özge Aksu, Tuğçe Demirdelen · Energy Sources Part A Recovery Utilization and Environmental Effects · 14
The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence
2019 · Tugce Demirdelen, Pırıl Tekin, et al. · Sustainability · 13
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A novel hybrid metaheuristic optimization method to estimate medium-term output power for horizontal axis wind turbine
2019 · Firat Ekinci, Tugce Demirdelen, et al. · Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy · 12
Modeling and experimental validation of dry-type transformers with multiobjective swarm intelligence-based optimization algorithms for industrial application
2021 · Tugce Demirdelen, Burak Esenboga, et al. · Neural Computing and Applications · 11
The New Prediction Methodology for CO2 Emission to Ensure Energy Sustainability with the Hybrid Artificial Neural Network Approach
2022 · İnayet Özge Aksu, Tuğçe Demirdelen · Sustainability · 9
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Training the multifeedback-layer neural network using the Particle Swarm Optimization algorithm
2013 · Inayet Ozge Aksu, Ramazan Coban · International Conference on Electronics, Computer and Computation · 9
Second order sliding mode control of MIMO nonlinear coupled tank system
2018 · Inayet Ozge Aksu, Ramazan Coban · IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) · 8
A two-stage deep learning approach for accurate day-ahead electricity price forecasting
2025 · İnayet Özge Aksu, Sina Ghaemi, et al. · Engineering Applications of Artificial Intelligence · 7
The Development of Lightning Protection and Grounding Systems: A Survey
2021 · Nihal Bayramoğlu, Burak Esenboğa, et al. · Turkish Journal of Electrical Power and Energy Systems · 6
Identification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithm
2013 · Inayet Ozge Aksu, Ramazan Coban · International Conference on Technological Advances in Electrical, Electronics and Computer Engineering · 5
Next-Month Prediction of Hourly Solar Irradiance based on Long Short-Term Memory Network
2023 · İnayet Özge AKSU · Çukurova Üniversitesi Mühendislik Fakültesi Dergisi · 4
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Time Series Installed Capacity Forecasting with Deep Learning Approach for Türkiye
2024 · Zeynep Altıparmak, İnayet Özge Aksu · Çukurova Üniversitesi Mühendislik Fakültesi Dergisi · 2
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Prediction of an electromechanical system parameters using the Particle Swarm Optimization algorithm
2016 · Inayet Ozge Aksu, Ramazan Coban · IEEE International Conference on Intelligent Engineering Systems (INES) · 2
A Novel deep learning model to improve electric energy consumption forecasting accuracy for lighting, residential, and commercial loads in the mediterranean region
2026 · Abdurrahman Yavuzdeğer, İnayet Özge Aksu, et al. · The Journal of Supercomputing · 1
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Hybrid VMD–LSTM–transformer model with Bayesian optimization for electricity load forecasting
2026 · Zeynep Altiparmak Guler, İnayet Özge Aksu, et al. · Academia green energy. · 1
Short-term Wind Speed Estimation With Ann Based Hybrid Optimization Methods in Çukurova Region
2019 · Burak Esenboğa, İnayet Özge Aksu, et al. · Taikomieji tyrimai studijose ir praktikoje · 1
Optimal Distribution Network Reconfiguration and DG Allocation Considering Time-Sequence Characteristics of Load and Renewable Generation
2026 · Halime Hızarcı, İnayet Özge Aksu · Electronics
Revisiting Day-Ahead Electricity Load Forecasting: The Effectiveness of Chronos Zero-Shot Models
2026 · İlayda Kaptan, İnayet Özge Aksu, et al. · Cognitive Models and Artificial Intelligence Conference (AICCONF)
A new deep learning model for short term electricity load forecasting using fuzzy granulation and attention mechanism to support clean energy systems
2026 · İlayda Kaptan, İnayet Özge Aksu · Advances in Mechanical Engineering
Predicting Day-Ahead Electricity Prices in Western Denmark (Dk1) Using Bayesian Deep Learning: Robust Intervals and The Role of Renewable Energy
2026 · Aksu, Inayet Özge, Ghaemi, Sina; id_orcid 0000-0002-4960-7685, et al. · VBN Forskningsportal (Aalborg Universitet)
Works count: 32
Citation count: 260
H-index: 9
I10-index: 9
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