Day-ahead unit commitment method considering time sequence feature of wind power forecast error

MLA

Xiaoyi Liu, et al. “Day-Ahead Unit Commitment Method Considering Time Sequence Feature of Wind Power Forecast Error.” International Journal of Electrical Power & Energy Systems, vol. 98, June 2018, pp. 156–66. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........c4887bbe24b5fcd646bbb5d0b092de39&authtype=sso&custid=ns315887.

APA

Xiaoyi Liu, Jun Liang, Xijuan Li, Xiaoming Dong, Xueshan Han, Zhaoqing Wang, Chengfu Wang, & Zhengtang Liang. (2018). Day-ahead unit commitment method considering time sequence feature of wind power forecast error. International Journal of Electrical Power & Energy Systems, 98, 156–166.

Chicago

Xiaoyi Liu, Jun Liang, Xijuan Li, Xiaoming Dong, Xueshan Han, Zhaoqing Wang, Chengfu Wang, and Zhengtang Liang. 2018. “Day-Ahead Unit Commitment Method Considering Time Sequence Feature of Wind Power Forecast Error.” International Journal of Electrical Power & Energy Systems 98 (June): 156–66. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........c4887bbe24b5fcd646bbb5d0b092de39&authtype=sso&custid=ns315887.