Perfis

Henrik Madsen

Professor, PhD, DTU Compute, Technical University of Denmark

E-mail confirmado em dtu.dk

Citado por 37020

Wind power forecasting Energy Efficiency Demand-side flexibility Smart Energy Systems

Andrea N Hahmann

Senior Scientist, DTU WInd Energy

E-mail confirmado em dtu.dk

Citado por 6208

Wind Energy wind power forecasting numerical wind atlas WRF dynamical downscaling

Stylianos Vagropoulos

University of Thessaly

E-mail confirmado em uth.gr

Citado por 1665

wind power forecasting smart charging optimization machine learning

Peng Lu

China Agricultural University

Citado por 1246

wind power forecasting

Carlos Abreu Ferreira

LIAAD INESC TEC / ISEP

E-mail confirmado em isep.ipp.pt

Citado por 1130

Machine Learning Wind Power Forecasting Multi-relational Data Mining Pattern mining

André Gensler

Freelance Data Scientist / ML Engineer

E-mail confirmado em uni-kassel.de

Citado por 1084

Probabilistic Regression Wind Power Forecasting Pattern Recognition Machine Learning Time Series

Zuhong Ou

Guangdong University of Technology

E-mail confirmado em mail2.gdut.edu.cn

Citado por 426

wind power forecasting artificial intelligence power electronics

Sushant Kumar

Scientist at National Centre for Medium Range Weather Forecasting

E-mail confirmado em ncmrwf.gov.in

Citado por 247

NWP model Wind Power Forecasting Tropical cyclone

Gabriele Martinelli

Head of European Power Research at Refinitiv

E-mail confirmado em refinitiv.com

Citado por 223

Bayesian networks value of information power price modeling wind power forecasting

Dae-Young Kim

Faculty of wind energy engineering, graduate school, Jeju national university. Ph.D.

E-mail confirmado em jejunu.ac.kr

Citado por 198

Wind energy Wind resource assessment Wind power forecasting

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