Sathyajith Mathew

Sathyajith Mathew

Universitetet i Agder

H-index: 17

Europe-Norway

About Sathyajith Mathew

Sathyajith Mathew, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at Universitetet i Agder, specializes in the field of Wind Energy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Direct and indirect short-term aggregated turbine-and farm-level wind power forecasts integrating several NWP sources

Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy: A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis

Realization of Small Wind Turbines for Low-Speed Wind Regions

A high-power solar PV-fed TISO DC-DC converter for electric vehicle charging applications

Intelligent estimation of wind farm performance with direct and indirect ‘point’forecasting approaches integrating several NWP models

Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems

Power production forecast for distributed wind energy systems using support vector regression

Artificially intelligent models for the site-specific performance of wind turbines

Sathyajith Mathew Information

University

Position

Professor

Citations(all)

2678

Citations(since 2020)

1013

Cited By

2005

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

16

Email

University Profile Page

Universitetet i Agder

Google Scholar

View Google Scholar Profile

Sathyajith Mathew Skills & Research Interests

Wind Energy

Top articles of Sathyajith Mathew

Title

Journal

Author(s)

Publication Date

Direct and indirect short-term aggregated turbine-and farm-level wind power forecasts integrating several NWP sources

Heliyon

Ghali Yakoub

Sathyajith Mathew

Joao Leal

2023/11/1

Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy: A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis

Vipin Raj Rajendran Pillai

Rohit Rajasekharan Nair Valsala

Veena Raj

Muhammed Iskandar Petra

Satheesh Kumar Krishnan Nair

...

2023/4/23

Realization of Small Wind Turbines for Low-Speed Wind Regions

RV Rohit

R Veena

K Satheesh Kumar

Sathyajith Mathew

2023/4/11

A high-power solar PV-fed TISO DC-DC converter for electric vehicle charging applications

Energies

Lijin Kunjuramakurup

Sheik Mohammed Sulthan

Muhammed Shanir Ponparakkal

Veena Raj

Mathew Sathyajith

2023/2/24

Intelligent estimation of wind farm performance with direct and indirect ‘point’forecasting approaches integrating several NWP models

Energy

Ghali Yakoub

Sathyajith Mathew

Joao Leal

2023/1/15

Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems

Energies

Veena Raj

Sam-Quarcoo Dotse

Mathew Sathyajith

MI Petra

Hayati Yassin

2023/1/6

Power production forecast for distributed wind energy systems using support vector regression

Energy Science & Engineering

Ghali Yakoub

Sathyajith Mathew

Joao Leal

2022/12

Artificially intelligent models for the site-specific performance of wind turbines

International Journal of Energy and Environmental Engineering

R Veena

S Mathew

MI Petra

2020/9

Low Reynolds number airfoil for a wind turbine blade and method thereof

2020/7/21

Machine-learned models for the performance of six different solar PV technologies under the tropical environment

Hayati Yassin

Veena Raj

Sathyajith Mathew

MI Petra

2020/12/16

Sustainable energy towards air pollution and climate change mitigation

Journal of environmental management

Adedayo Rasak Adedeji

Fauzi Zaini

Sathyajith Mathew

Lalit Dagar

Mohammad Iskandar Petra

...

2020/4/15

Determining intermittent renewable energy penetration limits in a grid

2020/11/10

Fault Diagnosis of Gearbox Based Pitch Drives in Wind Turbines: Fault Detection by Support Vector Machine Using Motor Current Signal Analysis

Jørgen Vollstad

Vegard Svensli Åsvestad

2020

Econo-Environmental Dispatch Solutions for Power Systems Integrated with Renewable Energy Resources

V Femin

I Petra

S Mathew

J Hazra

2020/10/20

Parametric models for predicting the performance of wind turbines

Materials Today: Proceedings

R Veena

SM Manuel

S Mathew

I Petra

2020/1/1

Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression

Journal of Physics: Conference Series

Ghali Yakoub

Sathyajith Mathew

Joao Leal

2020/9/1

See List of Professors in Sathyajith Mathew University(Universitetet i Agder)