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ARC.DE160100675 http://purl.org/au-research/grants/arc/DE160100675

1ARIMA-KF 1SDG 7 1Sustainable Development Goals 1batteries 1clustering algorithms 1heuristic algorithms 1logistics 1mathematical model 1maximum power extraction 1model predictive control 1optimization 1wind direction prediction 1yaw control

1Dong, Zhao Yang 1Fan, Xinyu 1Joo, Young Hoon 1Li, Chaojie 1Liu, Anfeng 1Liu, Yao 1Miao, Hui 1Song, Dongran 1Wong, Kit Po 1Yang, Jian

Facets

1ARIMA-KF 1SDG 7 1Sustainable Development Goals 1batteries 1clustering algorithms 1heuristic algorithms 1logistics 1mathematical model 1maximum power extraction 1model predictive control 1optimization 1wind direction prediction 1yaw control

1Dong, Zhao Yang 1Fan, Xinyu 1Joo, Young Hoon 1Li, Chaojie 1Liu, Anfeng 1Liu, Yao 1Miao, Hui 1Song, Dongran 1Wong, Kit Po 1Yang, Jian

Title
Creator
Date

Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions

- Song, Dongran, Yang, Jian, Fan, Xinyu, Liu, Yao, Liu, Anfeng, Chen, Guo, Joo, Young Hoon

Creator: Song, Dongran , Yang, Jian , Fan, Xinyu , Liu, Yao , Liu, Anfeng , Chen, Guo , Joo, Young Hoon
Resource Type: journal article
Date: 2018

Operating expense optimization for EVs in multiple depots and charge stations environment using evolutionary heuristic method

- Miao, Hui, Chen, Guo, Li, Chaojie, Dong, Zhao Yang, Wong, Kit Po

Creator: Miao, Hui , Chen, Guo , Li, Chaojie , Dong, Zhao Yang , Wong, Kit Po
Resource Type: journal article
Date: 2018

1

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