Ultra-short-term wind speed and wind power forecast via selective Hankelization and low-rank tensor learning-based predictor

Author:

Ji Tianyao,Jiang Yuzi,Li Mengshi,Wu Qinghua

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference49 articles.

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

2. Impacts of wind power on thermal generation unit commitment and dispatch;Ummels;IEEE Trans Energy Convers,2007

3. The future of forecasting for renewable energy;Sweeney;Wiley Interdiscip Rev: Energy Environ,2020

4. A comparison between the ECMWF and COSMO ensemble prediction systems applied to short-term wind power forecasting on real data;Alessandrini;Appl Energy,2013

5. Study on the physical approach to wind power prediction;Feng;Proc CSEE,2010

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