Ravi Kumar Pandit

发表

Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals

David Infield, Ravi Kumar Pandit, 2017, 2017 6th International Conference on Clean Electrical Power (ICCEP).

Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring

David Infield, Ravi Kumar Pandit, D. Infield, 2018, International Journal of Energy and Environmental Engineering.

Gaussian process power curve models incorporating wind turbine operational variables

Athanasios Kolios, David Infield, Ravi Kumar Pandit, 2020, Energy Reports.

Gaussian process models for SCADA data based wind turbine performance/condition monitoring

Ravi Kumar Pandit, 2018 .

SCADA‐based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposes

David Infield, Ravi Kumar Pandit, D. Infield, 2018, IET Renewable Power Generation.

Comparative study of binning and gaussian process based rotor curves of a wind turbine for the purpose of condition monitoring

David Infield, Ravi Kumar Pandit, 2018 .

Comparison of binned and Gaussian Process based wind turbine power curves for condition monitoring purposes

David Infield, Ravi Kumar Pandit, 2018 .

SCADA based nonparametric models for condition monitoring of a wind turbine

David Infield, Ravi Kumar Pandit, 2019 .

Performance assessment of a wind turbine using SCADA based Gaussian Process model

David Infield, Ravi Kumar Pandit, 2018 .

SCADA Data-Based Support Vector Machine Wind Turbine Power Curve Uncertainty Estimation and Its Comparative Studies

Athanasios Kolios, Ravi Kumar Pandit, A. Kolios, 2020, Applied Sciences.

Gaussian Process Operational Curves for Wind Turbine Condition Monitoring

David Infield, Ravi Kumar Pandit, D. Infield, 2018, Energies.

QQ plot for assessment of Gaussian Process wind turbine power curve error distribution function

David Infield, Ravi Kumar Pandit, 2018 .

Stochastic assessment of aerodynamics within offshore wind farms based on machine-learning

Athanasios Kolios, Ravi Kumar Pandit, M. Richmond, 2020, Renewable Energy.

Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy

David Infield, James Carroll, Ravi Kumar Pandit, 2018, Wind Energy.

Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy

David Infield, Ravi Kumar Pandit, D. Infield, 2019, Renewable Energy.

Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance

David Infield, Athanasios Kolios, Ravi Kumar Pandit, 2020, IET Renewable Power Generation.

Comparison of advanced non‐parametric models for wind turbine power curves

David Infield, Athanasios Kolios, Ravi Kumar Pandit, 2019, IET Renewable Power Generation.

Data-Driven Assessment of Wind Turbine Performance Decline with Age and Interpretation Based on Comparative Test Case Analysis

Ravi Kumar Pandit, D. Astolfi, Ludovico Terzi, 2022, Sensors.

Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer

Ravi Kumar Pandit, Matilde Santos, J. E. Sierra-García, 2022, Eng. Appl. Artif. Intell..

SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

Ravi Kumar Pandit, D. Infield, D. Astolfi, 2022, Wind Engineering.

Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance

Ravi Kumar Pandit, Matilde Santos, Montserrat Sacie, 2022, Journal of Marine Science and Engineering.

SCADA data analysis for long-term wind turbine performance assessment: A case study

Ravi Kumar Pandit, D. Astolfi, A. Lombardi, 2022, Sustainable Energy Technologies and Assessments.

Multivariate Data-Driven Models for Wind Turbine Power Curves including Sub-Component Temperatures

Ravi Kumar Pandit, D. Astolfi, A. Lombardi, 2022, Energies.

Accounting for Environmental Conditions in Data-Driven Wind Turbine Power Models

Ravi Kumar Pandit, D. Infield, M. Peñas, 2023, IEEE Transactions on Sustainable Energy.

Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis

Ravi Kumar Pandit, D. Astolfi, A. Lombardi, 2022, Energies.

TrackSafe: A comparative study of data-driven techniques for automated railway track fault detection using image datasets

Ravi Kumar Pandit, Marta Garcia Minguell, 2023, Engineering Applications of Artificial Intelligence.

Sequential Data-Driven Long-Term Weather Forecasting Models’ Performance Comparison for Improving Offshore Operation and Maintenance Operations

Ravi Kumar Pandit, D. Infield, A. Tang, 2022, Energies.

Improving O&M decision tools for offshore wind farm vessel routing by incorporating weather uncertainty

Ravi Kumar Pandit, Y. Hadjoudj, 2023, IET Renewable Power Generation.

Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoring

David Infield, Ravi Kumar Pandit, Ravi Pandit, 2018, 2018 53rd International Universities Power Engineering Conference (UPEC).

A review on data‐centric decision tools for offshore wind operation and maintenance activities: Challenges and opportunities

Ravi Kumar Pandit, Y. Hadjoudj, 2022, Energy Science & Engineering.