Ravi Pandit

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i10-indeks	31	30

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David InfieldProfessor of Renewable Energy Technologies, University of StrathclydePotvrđena adresa e-pošte na eee.strath.ac.uk
Davide AstolfiUniversità di BresciaPotvrđena adresa e-pošte na unibs.it
Matilde Santos PeñasFull Professor of Computer Science and Physics, Complutense University of MadridPotvrđena adresa e-pošte na ucm.es
Athanasios KoliosProfessor in Risk and Asset ManagementPotvrđena adresa e-pošte na dtu.dk
Jiarong HongUniversity of MinnesotaPotvrđena adresa e-pošte na umn.edu
Jesús Enrique Sierra GarciaUniversidad de BurgosPotvrđena adresa e-pošte na ubu.es
Linyue GaoAssistant Professor, University of Colorado DenverPotvrđena adresa e-pošte na ucdenver.edu
Isidro Durazo-CardenasCranfield UniversityPotvrđena adresa e-pošte na cranfield.ac.uk
James CarrollUniversity of StrathclydePotvrđena adresa e-pošte na strath.ac.uk
Tim DodwellCo founder & CTO at digiLab, Professor at University ExeterPotvrđena adresa e-pošte na digilab.co.uk
Adam SobeyProgramme Director, Data-Centric Engineering, The Alan Turing Institute/Professor of Data-CentricPotvrđena adresa e-pošte na soton.ac.uk
Rafael López MartínezUniversidad Complutense de MadridPotvrđena adresa e-pošte na ucm.es
JUAN CHIACHIO RUANOUniversity of GranadaPotvrđena adresa e-pošte na ugr.es
Sofia KoukouraResearch Associate, University of StrathclydePotvrđena adresa e-pošte na strath.ac.uk
Francesco CastellaniUniversity of PerugiaPotvrđena adresa e-pošte na unipg.it
Alfredo VaccaroUniversità degli studi del SannioPotvrđena adresa e-pošte na unisannio.it
Marco PasettiUniversità degli Studi di BresciaPotvrđena adresa e-pošte na unibs.it
Fabrizio De CaroUniversità degli Studi del SannioPotvrđena adresa e-pošte na unisannio.it
Pablo Andres Buestán-AndradePhD Student, Complutense University of MadridPotvrđena adresa e-pošte na ucm.es
Dr. Anh Minh TANGEcole nationale des ponts et chaussées - Institut Polytechnique de ParisPotvrđena adresa e-pošte na enpc.fr

Prati

Ravi Pandit

Lecturer (Assistant Professor) in Instrumentation and AI, Cranfield University

Potvrđena adresa e-pošte na cranfield.ac.uk - Početna stranica

Wind Energy Applied data science & ML Uncertainity Quantification predictive maintenance


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
SCADA - based wind turbine anomaly detection using Gaussian Process models for wind turbine condition monitoring purposes R Pandit, D Infield IET Renewable Power Generation, 2018	127	2018
SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends SM Pandit R, Astolfi D, Hong J, Infield D Wind Engineering, 2022	102*	2022
Gaussian process power curve models incorporating wind turbine operational variables RK Pandit, D Infield, A Kolios Energy Reports 6, 1658-1669, 2020	72	2020
Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy RK Pandit, D Infield, J Carroll Wind Energy 22 (2), 302-315, 2019	61	2019
Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer JE Sierra-Garcia, M Santos, R Pandit Engineering Applications of Artificial Intelligence 111, 104769, 2022	56	2022
Comparison of advanced non-parametric models for Wind Turbine Power Curves R Pandit, D Infield, A Kolios IET Renewable Power Generation, 2019	56	2019
Operational Variables for improving industrial wind turbine Yaw Misalignment early fault detection capabilities using data-driven techniques R Pandit, D Infield, T Dodwell IEEE Transactions on Instrumentation and Measurement, 2021	51	2021
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring RK Pandit, D Infield International Journal of Energy and Environmental Engineering 10 (2), 181-188, 2019	48	2019
Gaussian process operational curves for wind turbine condition monitoring R Pandit, D Infield Energies 11 (7), 1631, 2018	46	2018
SCADA Data-Based Support Vector Machine Wind Turbine Power Curve Uncertainty Estimation and Its Comparative Studies R Pandit, A Kolios Applied Sciences 10 (23), 8685, 2020	45	2020
Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance RK Pandit, A Kolios, D Infield IET Renewable Power Generation 14 (13), 2386-2394, 2020	41	2020
Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy RK Pandit, D Infield Renewable Energy, 2019	41	2019
Stochastic assessment of aerodynamics within offshore wind farms based on machine-learning M Richmond, A Sobey, R Pandit, A Kolios Renewable Energy 161, 650-661, 2020	38	2020
Accounting for environmental conditions in data-driven wind turbine power models R Pandit, D Infield, M Santos IEEE Transactions on Sustainable Energy 14 (1), 168-177, 2022	36	2022
A review of predictive techniques used to support decision making for maintenance operations of wind turbines RK Pandit, D Astolfi, I Durazo Cardenas Energies 16 (4), 1654, 2023	27	2023
Discussion of wind turbine performance based on SCADA data and multiple test case analysis D Astolfi, R Pandit, L Terzi, A Lombardi Energies 15 (15), 5343, 2022	26	2022
Use of state-of-art machine learning technologies for forecasting offshore wind speed, wave and misalignment to improve wind turbine performance M Sacie, M Santos, R López, R Pandit Journal of Marine Science and Engineering 10 (7), 938, 2022	25	2022
Data-Driven assessment of wind turbine performance decline with age and interpretation based on comparative test case analysis D Astolfi, R Pandit, L Celesti, M Vedovelli, A Lombardi, L Terzi Sensors 22 (9), 3180, 2022	21	2022
Open O&M: Robust O&M Open Access Tool for Improving Operation and Maintenance of Offshore wind Turbines JCR Athanasios Kolios, Julia Walgern, Sofia Koukoura,Ravi Pandit Proceedings of the 29th European Safety and Reliability Conference (ESREL), 7, 2019	21*	2019
Multivariate wind turbine power curve model based on data clustering and polynomial LASSO regression D Astolfi, R Pandit Applied Sciences 12 (1), 72, 2021	20	2021

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