Ultra-short-term power forecast method for the wind farm based on feature selection and temporal convolution network

Author:

Zha Wenting,Liu JieORCID,Li Yalong,Liang Yingyu

Funder

China University of Mining and Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference31 articles.

1. Research on wind power forecasting in wind farms;Dongmei,2011

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

3. Wind energy: trends and enabling technologies;Kumar;Renew Sustain Energy Rev,2016

4. An empirical analysis of applications of artificial intelligence algorithms in wind power technology innovation during 1980–2017;Lee;J Cleaner Prod,2021

5. Feature extraction of numerical weather prediction results toward reliable wind power prediction;Higashiyama,2017

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