Wind turbine power curve modeling for reliable power prediction using monotonic regression

Author:

Mehrjoo MehrdadORCID,Jafari Jozani Mohammad,Pawlak Miroslaw

Funder

MITACS Canada

Manitoba Hydro International Ltd

NSERC Canada

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference29 articles.

1. S. Lindenberg, B. Smith, K. O'Dell, 20% Wind Energy by 2030, National Renewable Energy Laboratory (NREL), US Department of Energy, Renewable Energy Consulting Services, energetics incorporated.

2. Reliability cost/worth associated with wind energy and energy storage utilization in electric power systems;Bagen,2008

3. Current status and future advances for wind speed and power forecasting;Jung;Renew. Sustain. Energy Rev.,2014

4. Wind turbine power curve modeling using advanced parametric and nonparametric methods;Shokrzadeh;IEEE Trans. Sustain. Energy,2014

5. Optimization of wind power and its variability with a computational intelligence approach;Zhang;IEEE Trans. Sustain. Energy,2014

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