Nikolay Dimitrov

About Nikolay Dimitrov

Nikolay Dimitrov, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Wind Energy, Applied Statistics, Probabilistic Design.

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

A Joint Probability Distribution for Multivariate Wind-Wave Conditions and Discussions on Uncertainties

Machine learning based virtual load sensors for mooring lines using motion and lidar measurements

Reliability-based leading edge erosion maintenance strategy selection framework

Extreme wind turbine response extrapolation with Gaussian mixture model

A joint probability distribution model for multivariate wind and wave conditions

Turbine loading and wake model uncertainty

Probwind D10: Pre-standard for Probabilistic Design and Background Document

Virtual sensors for wind turbines with machine learning‐based time series models

Nikolay Dimitrov Information

University

Position

___

Citations(all)

1172

Citations(since 2020)

985

Cited By

524

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

35

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Nikolay Dimitrov Skills & Research Interests

Wind Energy

Applied Statistics

Probabilistic Design

Top articles of Nikolay Dimitrov

A Joint Probability Distribution for Multivariate Wind-Wave Conditions and Discussions on Uncertainties

Journal of Offshore Mechanics and Arctic Engineering

2024/12/1

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Machine learning based virtual load sensors for mooring lines using motion and lidar measurements

Wind Energy Science Discussions

2024/3/22

Reliability-based leading edge erosion maintenance strategy selection framework

Applied Energy

2024/3/15

Lin Wang
Lin Wang

H-Index: 4

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Extreme wind turbine response extrapolation with Gaussian mixture model

Wind Energy Science Discussions

2023/7/3

Xiaodong Zhang
Xiaodong Zhang

H-Index: 19

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

A joint probability distribution model for multivariate wind and wave conditions

2023/6/11

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Turbine loading and wake model uncertainty

2023/3/21

Probwind D10: Pre-standard for Probabilistic Design and Background Document

2023

Virtual sensors for wind turbines with machine learning‐based time series models

Wind Energy

2022/9

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Uncertainty evaluation of BEM approaches for offshore wind turbine design

2022/5/30

Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network

Journal of Physics: Conference Series

2022/5/1

Suguang Dou
Suguang Dou

H-Index: 5

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Novel surrogate modelling approaches for wind turbine reliability assessment: HYPERWIND

2022/3/31

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Stefano Marelli
Stefano Marelli

H-Index: 2

Using transfer learning to build physics-informed machine learning models for improved wind farm monitoring

Energies

2022/1/13

Deep Learning-Based Modeling of Wake Induced Effects in Wind Farms

2022

Suguang Dou
Suguang Dou

H-Index: 5

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Wind farm parameterization and turbulent wind box generation

2022

Wind farm set point optimization with surrogate models for load and power output targets

Journal of Physics: Conference Series

2021/9/1

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Anand Natarajan
Anand Natarajan

H-Index: 8

Design brief of HIPERWIND offshore wind turbine cases: bottom fixed 10MW and floating 15MW

2021/6/18

Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals

Wind Energy Science

2021/6/7

Structural integrity of fixed and floating wind turbines

2021

Anand Natarajan
Anand Natarajan

H-Index: 8

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Probabilistic estimation of the Dynamic Wake Meandering model parameters using SpinnerLidar-derived wake characteristics

Wind Energy Science

2021

Nikolay Dimitrov
Nikolay Dimitrov

H-Index: 13

Alfredo Peña
Alfredo Peña

H-Index: 27

A benchmarking exercise for environmental contours

Ocean Engineering

2021/9/15

See List of Professors in Nikolay Dimitrov University(Danmarks Tekniske Universitet)