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Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region Alipour P, Mukherjee S, Nateghi R Energy, 185, 1143, 2019 |
2 |
Computational modeling of biodiesel production using supercritical methanol Baghban A Energy Sources Part A-recovery Utilization and Environmental Effects, 41(1), 14, 2019 |
3 |
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems Margellos K, Prandini M, Lygeros J IEEE Transactions on Automatic Control, 60(10), 2716, 2015 |
4 |
A statistical learning theory approach for uncertain linear and bilinear matrix inequalities Chamanbaz M, Dabbene F, Tempo R, Venkataramanan V, Wang QG Automatica, 50(6), 1617, 2014 |
5 |
Randomized Strategies for Probabilistic Solutions of Uncertain Feasibility and Optimization Problems Alamo T, Tempo R, Camacho EF IEEE Transactions on Automatic Control, 54(11), 2545, 2009 |
6 |
A learning theory approach to system identification and stochastic adaptive control Vidyasagar M, Karandikar RL Journal of Process Control, 18(3-4), 421, 2008 |
7 |
Customer demand forecasting via support vector regression analysis Levis AA, Papageorgiou LG Chemical Engineering Research & Design, 83(A8), 1009, 2005 |
8 |
Randomized algorithms for robust controller synthesis using statistical learning theory Vidyasagar M Automatica, 37(10), 1515, 2001 |