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Artificial Intelligence for Renewable Energy Systems

Ajay Kumar Vyas, S. Balamurugan, Kamal Kant Hiran, Harsh S. Dhiman, Ajay Kumar Vyas, S. Balamurugan, Kamal Kant Hiran, Harsh S. Dhiman

1st edition, 2022

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Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis

Sensors (Basel, Switzerland), 2020-11, Vol.20 (23), p.6742

2020

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Decision and Control in Hybrid Wind Farms

1st ed. 2020., 2019

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Hybrid machine intelligent SVR variants for wind forecasting and ramp events

Renewable & sustainable energy reviews, 2019-07, Vol.108, p.369-379

2019

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Wake Management in Wind Farms: An Adaptive Control Approach

Energies (Basel), 2019-04, Vol.12 (7), p.1247

2019

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Multi-Criteria Decision Making Approach for Hybrid Operation of Wind Farms

Symmetry (Basel), 2019-05, Vol.11 (5), p.675

2019

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Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

Computers in biology and medicine, 2021-04, Vol.131, p.104246-104246, Article 104246

2021

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Machine intelligent and deep learning techniques for large training data in short‐term wind speed and ramp event forecasting

International transactions on electrical energy systems, 2021-09, Vol.31 (9), p.n/a

2021

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Point of Common Coupling Voltage Modulated Direct Power Control of Grid-Tied Photovoltaic Inverter for AC Microgrid Application

International transactions on electrical energy systems, 2023, Vol.2023, p.1-22

2023

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Predication of negative dispersion for photonic crystal fiber using extreme learning machine

Journal of optical communications, 2024-04, Vol.45 (2), p.219-225

2024

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Enhanced Memetic Algorithm-Based Extreme Learning Machine Model for Smart Grid Stability Prediction

International transactions on electrical energy systems, 2022-08, Vol.2022, p.1-10

2022

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Machine intelligent forecasting based penalty cost minimization in hybrid wind‐battery farms

International transactions on electrical energy systems, 2021-09, Vol.31 (9), p.n/a

2021

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On reliability enhancement of solar PV arrays using hybrid SVR for soiling forecasting based on WT and EMD decomposition methods

Ain Shams Engineering Journal, 2024-06, Vol.15 (6), p.102716, Article 102716

2024

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

1, 2020

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Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms

Energy (Oxford), 2020-07, Vol.202, p.117755, Article 117755

2020

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Wake management based life enhancement of battery energy storage system for hybrid wind farms

Renewable & sustainable energy reviews, 2020-09, Vol.130, p.109912, Article 109912

2020

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Bilateral Gaussian Wake Model Formulation for Wind Farms: A Forecasting based approach

Renewable & sustainable energy reviews, 2020-07, Vol.127, p.109873, Article 109873

2020

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Lidar assisted wake redirection in wind farms: A data driven approach

Renewable energy, 2020-06, Vol.152, p.484-493

2020

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Wind Turbine Blade Erosion Detection using Visual Inspection and Transfer Learning

2024 International Conference on Control, Automation and Diagnosis (ICCAD), 2024, p.1-6

2024

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Synergizing Digital Twins for Enhanced Maintenance of Integrated Chargers in Electric Vehicles: A State-of-the-Art Analysis and Future Implications

2023 International Conference on Integration of Computational Intelligent System (ICICIS), 2023, p.1-6

2023

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Exploring Diverse Clustering Methods for Analyzing Gas Turbine Emissions

2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), 2023, p.455-461

2023

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On wavelet transform based convolutional neural network and twin support vector regression for wind power ramp event prediction

Sustainable computing informatics and systems, 2022-12, Vol.36, p.100795, Article 100795

2022

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Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023, p.1-6

2023

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Lithium-Ion Battery Prognostics based on Support Vector Regression and Time-Series Analysis

2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021, p.1-4

2021

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Automated Solar PV Array Cleaning Based on Aerial Computer Vision Framework

Soft Computing: Theories and Applications, 2023, Vol.627, p.563-571

2023

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Artificial Intelligence for Renewable Energy Systems

Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis

Decision and Control in Hybrid Wind Farms

Hybrid machine intelligent SVR variants for wind forecasting and ramp events

Wake Management in Wind Farms: An Adaptive Control Approach

Multi-Criteria Decision Making Approach for Hybrid Operation of Wind Farms

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

Machine intelligent and deep learning techniques for large training data in short‐term wind speed and ramp event forecasting

Point of Common Coupling Voltage Modulated Direct Power Control of Grid-Tied Photovoltaic Inverter for AC Microgrid Application

Predication of negative dispersion for photonic crystal fiber using extreme learning machine

Enhanced Memetic Algorithm-Based Extreme Learning Machine Model for Smart Grid Stability Prediction

Machine intelligent forecasting based penalty cost minimization in hybrid wind‐battery farms

On reliability enhancement of solar PV arrays using hybrid SVR for soiling forecasting based on WT and EMD decomposition methods

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms

Wake management based life enhancement of battery energy storage system for hybrid wind farms

Bilateral Gaussian Wake Model Formulation for Wind Farms: A Forecasting based approach

Lidar assisted wake redirection in wind farms: A data driven approach

Wind Turbine Blade Erosion Detection using Visual Inspection and Transfer Learning

Synergizing Digital Twins for Enhanced Maintenance of Integrated Chargers in Electric Vehicles: A State-of-the-Art Analysis and Future Implications

Exploring Diverse Clustering Methods for Analyzing Gas Turbine Emissions

On wavelet transform based convolutional neural network and twin support vector regression for wind power ramp event prediction

Enhancing Wind Turbine Reliability through Proactive High Speed Bearing Prognosis Based on Adaptive Threshold and Gated Recurrent Unit Networks

Lithium-Ion Battery Prognostics based on Support Vector Regression and Time-Series Analysis

Automated Solar PV Array Cleaning Based on Aerial Computer Vision Framework

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