Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation

Author:

Sun Mucun,Feng CongORCID,Zhang Jie

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference43 articles.

1. Spatio-temporal analysis and modeling of short-term wind power forecast errors;Tastu;Wind Energy,2011

2. A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe;Malvaldi;Wind Energy,2017

3. Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels;Lenzi;Environmetrics,2018

4. Spatio-temporal graph deep neural network for short-term wind speed forecasting;Khodayar;IEEE Trans Sustain Energy,2018

5. Spatio-temporal load forecasting considering aggregation features of electricity cells and uncertainties in input variables;Zhao;J Electr Eng Technol,2018

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