Short-Term Power Generation Scheduling via Robust Optimization†

2015 ◽  
pp. 1-12
Author(s):  
Chaoyue Zhao ◽  
Yonghong Chen ◽  
Yongpei Guan ◽  
Qianfan Wang ◽  
Xing Wang
Keyword(s):  
Power Generation ◽  
Robust Optimization ◽  
Short Term ◽  
Generation Scheduling

Short-term resource scheduling with ramp constraints [power generation scheduling]

1997 ◽  
Vol 12 (1) ◽  
pp. 77-83 ◽  
Author(s):  
A.J. Svoboda ◽  
Chung-Li Tseng ◽  
Chao-An Li ◽  
R.B. Johnson
Keyword(s):  
Power Generation ◽  
Resource Scheduling ◽  
Short Term ◽  
Generation Scheduling

A Unit Commitment Algorithm and a Compact MILP Model for Short-Term Hydro-Power Generation Scheduling

2017 ◽  
Vol 32 (5) ◽  
pp. 3381-3390 ◽  
Author(s):  
Lucas S. M. Guedes ◽  
Pedro de Mendonca Maia ◽  
Adriano Chaves Lisboa ◽  
Douglas Alexandre Gomes Vieira ◽  
Rodney Rezende Saldanha
Keyword(s):  
Power Generation ◽  
Unit Commitment ◽  
Short Term ◽  
Hydro Power ◽  
Generation Scheduling ◽  
Milp Model

Power generation scheduling through use of generalised network flow programming

1991 ◽  
Vol 138 (1) ◽  
pp. 39 ◽  
Author(s):  
R.E. Rice ◽  
W.M. Grady ◽  
W.G. Lesso ◽  
A.H. Noyola ◽  
M.E. Connolly
Keyword(s):  
Power Generation ◽  
Network Flow ◽  
Generation Scheduling ◽  
Network Flow Programming

Very short-term forecasting of wind power generation using hybrid deep learning model

2021 ◽  
Vol 296 ◽  
pp. 126564
Author(s):  
Md Alamgir Hossain ◽  
Ripon K. Chakrabortty ◽  
Sondoss Elsawah ◽  
Michael J. Ryan
Keyword(s):  
Power Generation ◽  
Deep Learning ◽  
Wind Power ◽  
Learning Model ◽  
Wind Power Generation ◽  
Short Term ◽  
Short Term Forecasting ◽  
Deep Learning Model
Sign in / Sign up

Export Citation Format

Share Document