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Short-mid-term solar power prediction by using artificial neural networks
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Short-term wind power generation forecasting by coupling numerical weather prediction models and machine learning algorithms
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A novel framework for real time transient stability prediction in power systems under data integrity attacks
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Wide-area measurement-based early prediction and corrective control for transient stability in power systems
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
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An Energy Management Strategy for a Wind Power Plant Based on Energy Storage and Wind Power Prediction
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Wind Engineering, Kasım 2020, ISSN: 0309-524X
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Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel
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Real-time transient stability prediction of power systems based on the energy of signals obtained from PMUs
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Improving Accuracy in Solar Power Plant Power Generation Prediction: A Hybrid Model Proposal
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A Novel Hybrid Model Proposal derived from Prevalent Methods for Power Generation Prediction of Solar Power Plants
14th International Conference on Electrical and Electronics Engineering (ELECO2023), Bursa/TÜRKİYE, 30 Kasım 2023
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Prediction of the power output of a power generation gas turbine using artificial neural network (ANN) approach - case study Libya
Lisansüstü Eğitim Enstitüsü, Karabük Üniversitesi, 2019
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Data-driven prediction and emergency control of transient stability in power systems towards a risk-based optimal power flow operation
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72hr forecast of wind power in Manix0307sa, Turkey by using the WRF model coupled to WindSim
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A novel Geno-fuzzy based model for hydrodynamic efficiency prediction of a land-fixed oscillating water column for various front wall openings, power take-off dampings and incident wave steepnesses
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An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 184-188
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Contingency based adaptive synthetic data generation to improve transient stability prediction in power systems
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